Tag: Data Science

  • Best AI Training Courses In 2025

    A world where machines can think, learn, and make decisions just like humans? It’s not science fiction anymore. It’s the reality of artificial intelligence. As AI continues to shape our future, more and more people are eager to dive into this fascinating field. We at StartupTalky understand the buzz around AI and how it’s changing the game for businesses and individuals alike. So, you’re interested in riding the wave of AI but don’t know where to start? Don’t worry, we’ve got you covered.

    The internet is brimming with artificial intelligence courses that cater to beginners and experts alike. From Google’s AI essentials to Stanford’s healthcare-focused AI program, there’s something for everyone. Whether you’re looking to boost your career or simply satisfy your curiosity, these online AI courses offer a chance to learn from industry leaders and top universities. 

    Google AI Essentials
    IBM AI Developer Professional Certificate
    DeepLearning.AI’s Deep Learning Specialisation
    Udacity’s Artificial Intelligence Nanodegree
    edX’s Artificial Intelligence Professional Certificate
    MIT OpenCourseWare’s Artificial Intelligence
    Google’s Machine Learning Crash Course

    Google AI Essentials

    Course Google AI Essentials
    Price Free
    Course Length Approximately 10 hours
    Google AI Essentials - Best AI Training Courses
    Google AI Essentials – Best AI Training Courses

    Google AI Essentials is a self-paced artificial intelligence course designed to help individuals across various industries boost their productivity using AI tools. In under 10 hours, learners gain practical skills to apply AI in real-world scenarios. The course covers essential topics such as using AI for idea generation, content creation, and effective prompt writing. It also emphasises responsible AI use by teaching learners to identify potential biases and avoid harm. This AI course is accessible to everyone, requiring no prior technical experience, and is structured to fit into busy schedules.

    Course Overview

    The course comprises five modules: Introduction to AI, Maximising Productivity with AI Tools, Discovering the Art of Prompt Engineering, Using AI Responsibly, and Staying Ahead of the AI Curve. Through a mix of videos, readings, and interactive exercises, participants learn to use generative AI tools, create effective prompts, and select appropriate AI tools for various work needs. The hands-on approach allows learners to immediately apply their newly acquired skills to workplace tasks.

    IBM AI Developer Professional Certificate

    Course IBM AI Developer Professional Certificate
    Price $49 per month on Coursera
    Course Length Approximately 6 months
    IBM AI Developer Professional Certificate - Best AI Training Courses
    IBM AI Developer Professional Certificate – Best AI Training Courses

    The IBM AI Developer Professional Certificate is a comprehensive online programme designed to equip learners with practical skills in AI development. This self-paced course, offered through Coursera, can be completed in about six months with a commitment of 4-10 hours per week. It’s suitable for both beginners and experienced professionals looking to enhance their AI skills.

    Overview

    This certificate programme covers essential aspects of AI, including machine learning, deep learning, natural language processing, and computer vision. Learners engage in hands-on projects and labs, gaining real-world experience in building AI models and applications. Upon completion, participants receive a professional certificate from IBM, a globally recognised leader in AI and technology.


    Best Free AI Certification Courses for 2024
    Discover the top free AI certification courses in 2024 to enhance your skills, covering key AI concepts, tools, and industry-relevant knowledge.


    DeepLearning.AI’s Deep Learning Specialisation

    Course Deep Learning Specialisation
    Price $49 per month on Coursera
    Course Length Approximately 2–6 months
    DeepLearning.AI's Deep Learning Specialisation - Best AI Training Courses
    DeepLearning.AI’s Deep Learning Specialisation – Best AI Training Courses

    Deep Learning Specialisation is a comprehensive artificial intelligence course that equips learners with foundational skills in deep learning. This programme, led by AI pioneer Andrew Ng, offers a blend of theoretical knowledge and practical applications. The specialisation comprises five courses, covering neural networks, optimisation techniques, and advanced topics like convolutional and recurrent neural networks.

    Specialisation Course Structure

    The specialisation is structured into five courses:

    1. Neural Networks and Deep Learning
    2. Improving Deep Neural Networks
    3. Structuring Machine Learning Projects
    4. Convolutional Neural Networks
    5. Sequence Models

    Each course builds upon the previous one, providing a logical progression through the field of deep learning.

    Udacity’s Artificial Intelligence Nanodegree

    Course Udacity’s Artificial Intelligence Nanodegree
    Price $399/month.
    Course Length Approximately 3 months.
    Udacity's Artificial Intelligence Nanodegree - Best AI Training Courses
    Udacity’s Artificial Intelligence Nanodegree – Best AI Training Courses

    This one is designed to equip learners with essential skills in AI development. This programme offers a blend of theoretical knowledge and practical applications, making it an excellent choice for those looking to start or advance their careers in AI.

    Programme Structure

    The nanodegree is structured into two terms, each lasting three months. Students are expected to dedicate approximately 15 hours per week to complete the programme successfully. The curriculum

    covers a wide range of topics, including machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.


    Best AI Courses for Product Managers in 2025 | Learn In-Demand Skills
    Discover the top AI courses for product managers in 2025. Learn how to integrate AI into product strategy, enhance decision-making, and future-proof your career with cutting-edge skills.


    edX’s Artificial Intelligence Professional Certificate

    Course edX’s Artificial Intelligence Professional Certificate
    Price $447 total for the certificate program.
    Course Length Approximately 6 months.
    edX's Artificial Intelligence Professional Certificate - Best AI Training Courses
    edX’s Artificial Intelligence Professional Certificate – Best AI Training Courses

    It is a course that equips learners with essential skills in AI development. This professional certificate program covers a wide range of topics, from basic concepts to advanced techniques in machine learning.

    Curriculum

    The curriculum includes courses on supervised machine learning, unsupervised learning, deep learning, and reinforcement learning. Students learn to apply common operations to datasets using Python, explain various learning models, and implement algorithms using Scikit-learn.

    Skills Gained

    Participants gain practical skills in data preprocessing, plotting, and analysing factors that impact algorithm performance. They also learn to optimise machine learning pipelines, implement clustering techniques, and train deep neural networks for classification and regression tasks.

    MIT OpenCourseWare’s Artificial Intelligence

    Course MIT OpenCourseWare’s Artificial Intelligence
    Price Free
    Course Length Self-paced, varies by user
    MIT OpenCourseWare's Artificial Intelligence - Best AI Training Courses
    MIT OpenCourseWare’s Artificial Intelligence – Best AI Training Courses

    This artificial intelligence course, offered by MIT OpenCourseWare, provides a comprehensive introduction to AI fundamentals. Led by Professor Patrick Henry Winston, it covers essential concepts in knowledge representation, problem-solving, and learning methods.

    Course Structure

    The course comprises lectures, recitations, and tutorials, offering a well-rounded learning experience. It delves into three major areas: Search, Machine Learning, and Knowledge Representation and Inference. Students engage with topics such as graph search, neural networks, and natural language processing.

    Key Concepts

    Learners explore AI applications in rule chaining, heuristic search, and constrained search. The course also covers decision trees, SVMs, and other learning paradigms, equipping students with practical skills in developing intelligent systems.

    Google’s Machine Learning Crash Course

    Course Google’s Machine Learning Crash Course
    Price Free
    Course Length Approximately 15 hours
    Google's Machine Learning Crash Course - Best AI Training Courses
    Google’s Machine Learning Crash Course – Best AI Training Courses

    This one is all about a practical introduction to artificial intelligence and machine learning. This free AI course comprises over 30 exercises, 25 lessons, and takes approximately 15 hours to complete. Taught by Google researchers, it provides real-world case studies and interactive visualisations of algorithms in action.

    Crash Course Overview

    The course covers fundamental machine learning concepts, including supervised and unsupervised learning, regression, classification, and neural networks. It’s designed for both beginners and those with some programming experience, making it an excellent choice for anyone looking to enhance their AI skills.

    Key Topics

    Key topics include linear regression, logistic regression, neural networks, and working with numerical and categorical data. The course also delves into advanced subjects like large language models and ML fairness, ensuring learners gain a comprehensive understanding of artificial intelligence and machine learning.

    Practical Exercises

    Practical exercises run directly in the browser using the Collaboratory platform, allowing learners to apply their knowledge in a hands-on manner. These exercises cover various aspects of machine learning, from basic concepts to more advanced topics, helping students build practical skills in AI development.

    End Note

    We at StartupTalky believe that staying ahead in the AI game is crucial for success in the 21st century. No matter who you are – a budding entrepreneur or a seasoned professional, these courses offer a chance to level up your skills and stay competitive. And hey, if you’re a founder looking to partner or work with experts in the startup world, don’t hesitate to reach out to the StartupTalky team at shubham@startuptalky.com for all things ‘startups’. When every day is a beginning, so why not start your journey today?


    Top 10 AI Tools for Students
    Discover the top 10 AI tools curated to empower students in their educational journey. From productivity enhancers to learning aids, explore innovative technologies designed to support academic success.


    FAQ

    Which is the best course to learn AI?

    Here are the best courses to learn AI:

    • Google AI Essentials
    • IBM AI Developer Professional Certificate
    • DeepLearning.AI’s Deep Learning Specialisation
    • Udacity’s Artificial Intelligence Nanodegree
    • edX’s Artificial Intelligence Professional Certificate
    • MIT OpenCourseWare’s Artificial Intelligence
    • Google’s Machine Learning Crash Course

    Can I learn AI in 3 months?

    Yes, you can gain a basic understanding of AI in three months through focused online courses, especially covering foundational topics like machine learning, data science, and neural networks.

    Is AI hard to study?

    Studying AI can be challenging due to its technical concepts like machine learning, algorithms, and data analysis, but it’s manageable with dedication and consistent practice.

  • Best AI Tools for Research: 2024 Edition

    Have you ever felt overwhelmed by the sheer volume of information at your fingertips when diving into research? We’ve all been there. It’s like trying to find a needle in a haystack, except the haystack is the size of the internet. But what if you had a magic wand that could sift through all that data, pulling out exactly what you need? Well, that’s where AI tools for research come into play.

    In 2024, these clever assistants are changing the game for researchers, making fact-checking a breeze and turning complex data into eye-catching visualisations. From Semantic Scholar’s smart search abilities to Tableau’s knack for bringing numbers to life, we’re seeing a revolution in how we tackle research. These tools, besides making our lives easier – are also opening doors to insights we might have missed before. So, let’s take a closer look at some of the best AI tools that are shaking up the research world this year.

    Semantic Scholar
    ZAIA AI Assistant
    Tableau with Einstein AI
    Scite.ai
    Consensus AI
    Dimensions
    Scispace

    Semantic Scholar

    Website www.semanticscholar.org
    Standout Feature AI-Enhanced Search
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    Semantic Scholar- Best AI Tools for Research
    Semantic Scholar- Best AI Tools for Research

    Semantic Scholar is a game-changer in the world of AI tools for research. This free, AI-powered search engine, developed by the Allen Institute for AI, is designed to make your research journey smoother and more efficient. It’s like having a clever research assistant at your fingertips, helping you sift through over 200 million scientific papers across all fields.

    What sets Semantic Scholar apart is its ability to understand the essence of research papers. It uses smart natural language processing to generate one-sentence summaries, making it easier for you to grasp key points quickly. The tool also identifies influential citations, helping you focus on the most impactful research. With features like customisable libraries and AI-powered research feeds, Semantic Scholar keeps you up-to-date with the latest findings in your field, revolutionising how you approach scientific literature.

    Plan Pricing
    Free $0/Month

    ZAIA AI Assistant

    Website www.zendy.io
    Standout Feature Conversational Interaction
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    ZAIA - Best AI Tools for Research
    ZAIA – Best AI Tools for Research

    ZAIA, short for Zendy AI Assistant, is revamping the research process. This clever tool, developed by Zendy’s data science team, is a domain-specific Large Language Model designed to make your research journey smoother.

    Unlike general AI tools, ZAIA is trained on Zendy’s own data, giving you access to millions of academic papers. You can ask it any research-related question, and it’ll provide credible answers backed by references. It excels at helping you grasp key research concepts and find relevant papers, making literature reviews a breeze. It’s like having a super-smart research buddy at your fingertips, ready to dive into the depths of academic knowledge with you.\

    Plan Pricing
    Free $0/Month

    How AI Research Tools Can Improve Your Research Process
    In this content piece, we will explore ways in which AI tools enhance academic research and how they can be used to improve your research process.


    Tableau with Einstein AI

    Website www.tableau.com
    Standout Feature Predictive Analytics
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    Tableau with Einstein AI - Best AI Tools for Research
    Tableau with Einstein AI – Best AI Tools for Research

    Tableau with Einstein AI is changing how researchers handle data. This powerful tool brings AI-driven insights directly into your workflow, making complex data analysis a breeze. With Einstein Discovery, you can create predictive models without writing a single line of code. It’s like having a data scientist at your side, helping you spot trends and make smarter decisions faster.

    What’s great about Tableau with Einstein AI is how it democratises data science. It’s not just for the tech-savvy; anyone can use it to uncover valuable insights. You can ask questions in plain English and get visualisations that make sense of your data. It’s changing the game for researchers, making it easier than ever to turn raw numbers into actionable insights.

    Plan Pricing
    Free $0/Month

    Scite.ai

    Website www.scite.ai
    Standout Feature Citation Contextualization
    Free Trial Yes
    Platforms Supported Web
    Scite.ai - Best AI Tools for Research
    Scite.ai – Best AI Tools for Research

    Scite.ai is upscaling how researchers engage with scientific literature. This Brooklyn-based tool uses Smart Citations to help you better understand research articles. It’s like having a research assistant who not only finds citations but also tells you whether they support or challenge the paper you’re reading.

    Scite.ai analyses over 1.2 billion citations from 200 million scholarly sources, giving you a comprehensive view of how research is being used and interpreted. With custom research dashboards, you can keep track of emerging citations in your field, making it easier to stay on top of trending topics. It’s an indispensable tool for writing papers and finding related work, saving you time and enhancing the quality of your research.

    Plan Pricing
    Personal ₹412.23/Month
    Enterprise Custom

    Consensus AI

    Website www.consensus.app
    Standout Feature Research Synthesis
    Free Trial Yes
    Platforms Supported Web
    Consensus AI - Best AI Tools for Research
    Consensus AI – Best AI Tools for Research

    This crazy tool uses AI to sift through mountains of academic papers, giving you instant insights backed by real science. Consensus is like having a team of experts helping you find the most relevant and trustworthy research in no time.

    What’s great about Consensus is how it breaks down complex studies into bite-sized summaries, making it easier for you to grasp key findings quickly. Whether you’re fact-checking or diving deep into a literature review, this AI tool for research is designed to streamline your work and boost your confidence in the results.

    Plan Pricing
    Free $0/Month
    Premium $8.99/Month
    Teams $9.99/Month
    Enterprise Custom

    Dimensions

    Website www.dimensions.ai
    Standout Feature Extensive Research Database
    Free Trial Yes
    Platforms Supported Web
    Dimensions - Best AI Tools for Research
    Dimensions – Best AI Tools for Research

    Dimensions is changing the game with the world’s largest linked research information dataset. It’s like having a massive digital library at your disposal, covering everything from publications to patents and policy documents.

    What sets Dimensions apart is its ability to connect the dots across the research ecosystem. You can easily trace the journey of an idea from grant funding to published paper, and even see its impact on policy. With powerful search tools and visual analytics, Dimensions helps you uncover insights faster than ever. Whether you’re benchmarking your organisation or identifying emerging trends, this AI tool for research makes complex data analysis a breeze.

    Plan Pricing
    Free $0/Month

    How to do Market Research For Your Startup
    In 2021, the global revenue of the market research industry was over $76.4 billion. Here is how to conduct market research for your startup.


    Scispace

    Website www.typeset.io
    Standout Feature Real-Time Collaboration
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    Scispace  - Best AI Tools for Research
    Scispace – Best AI Tools for Research

    Scispace excels at research writing and understanding. This AI-powered platform helps you decode complex papers effortlessly, making it a game-changer for researchers. With SciSpace, you can access over 270 million articles from 49,000+ journals, making it a treasure trove of scientific knowledge. The tool offers simple explanations and instant answers, helping you grasp key concepts quickly.

    What’s more, SciSpace provides a collaborative workspace where you can draft, format, and submit your manuscripts. With features like one-click formatting and access to 100,000+ verified journal templates, it’s streamlining the often laborious process of research writing. Whether you’re a LaTeX pro or new to academic writing, SciSpace is designed to make your research journey smoother and more efficient.

    Plan Pricing
    Free $0/Month
    Premium ₹700/Month
    Labs and Universities ₹600/Month per user

    Conclusion

    The future of research is looking brighter than ever, with AI as our trusty sidekick. These tools are helping us sift through mountains of data, spot trends, and make connexions we might have overlooked. They’re giving us more time to think deeply and creatively about our work. And hey, if you’re hungry for more research-based insights, why not join the club? Subscribe to StartupTalky’s newsletter, ‘Smell The Coffee’, to stay in the loop with the latest news, case studies, and more. Here’s to smarter, faster, and more exciting research adventures ahead!

    FAQ

    How can AI be used as a research tool?

    AI can aid research by automating data analysis, conducting literature reviews, and identifying relevant studies efficiently. It enhances productivity by quickly extracting insights from large datasets.

    Can I use AI to write my research paper?

    Yes, AI can help you write your research paper by generating content and organizing ideas. However, you should ensure originality and proper citations in your final work.

    What is the best AI tool for research?

    Some of the best tools for research are:

    • Semantic Scholar
    • ZAIA AI Assistant
    • Tableau with Einstein AI
    • Scite.ai
    • Consensus AI
    • Dimensions
    • Scispace
  • Top 10 Digital Skills That Are in Huge Demand

    In a world that revolves around the internet, learning on-demand digital skills is very important.

    The advancements in technology are taking away jobs from the people but, at the same time, it is creating new jobs as well.

    If you understand what services people would need in the future and start working on them from today you could earn a lot of money.

    You need to understand the world is rapidly evolving and to survive here, you need to continuously upgrade yourself.

    Without further ado, here are the top 10 on-demand digital skills that you can start learning today.

    1. Data Science
    2. Artificial Intelligence (AI)
    3. Machine Learning
    4. Cloud Computing
    5. Mobile App Development
    6. Ul Design
    7. UX Design
    8. Graphic Designing
    9. Social Media Marketing
    10. Copywriting

    1. Data Science

    Data is the most valuable asset of any company.

    Every other company needs to analyze its customer information and market conditions along with a detailed study of its competitors.

    Of course, the companies also need to analyze their revenue, profits, capital appreciation, market capitalization, number of investors, total assets and liabilities, and much more.

    It is estimated that by 2025 the global data volume will touch 180 Zetta bytes, 572 Zetta bytes by 2030, and it may even go up to 5,00,000 Zetta bytes by 2050.

    As you can guess, all this data is extremely big. All companies need someone who can analyze this humongous data, find recurring patterns and provide insights that help the company grow.

    This is where a data scientist comes in.

    Data science in simple words is applying advanced analytics techniques and scientific principles to extract information from data.

    The valuable information extracted from the data is further used to improve business efficiency, find new business opportunities, improve the product or service, increase sales and ultimately boost revenue.

    According to Payscale, the average salary of a data scientist in India is 8,73,310 a year.

    What Does a Data Scientist Do?

    • Improve the quality of the data using machine learning techniques and identify patterns and trends.
    • Validate the data to ensure accuracy, completeness, and uniformity.
    • Create algorithms and data models that can find valuable information from the data.
    • Integrate data tools such as Python, R, SAS, or SQL in data analysis.
    • Find solutions and hidden opportunities from the data.

    Skills Required to Become a Data Scientist:

    • Expertise in programming languages like Python, R Programming, SQL, and Scala.
    • Strong command of statistics and mathematics (Linear algebra and matrix, statistics, geometry, calculus, probability, regression, dimensionality reduction, and vector models)
    • Deep understanding of machine learning and artificial intelligence.
    • Web Scraping.
    • Data analysis and visualization.
    • Database management.

    2. Artificial Intelligence (AI)

    When we hear the word AI we usually think about an army of robots ruling mankind.

    We might even think about Siri, Alexa, facial detection, chatbots, self-driving cars, movie recommendations that we get on Netflix, and much more.

    Although these applications of Al are very basic. To be very frank, we haven’t scratched the surface of Al.

    In the future, AI would be used in almost every sector like finance, healthcare, transportation, retail and e-commerce, advertising, entertainment, and gaming.

    This means that every other company would be looking for professionals who know how to effectively use the power of Al for the growth of their business.

    You can work with big companies like Apple, Microsoft, Google, Facebook, Adobe, Intel, and many more.

    In 2020, LinkedIn listed Al specialist as the top emerging job.

    According to Simplilearn, the entry-level annual average AI specialist salary in India is around 8 lakhs.

    If you have a higher level of expertise and experience it can go as high as 50 lakhs.

    There is a crossover between Al and machine learning. You will get to know more about machine learning next!

    What Does an Al Specialist Do?

    • An Al specialist is responsible for creating machines and software problems that can analyze the data and make human-like decisions.
    • Use machine learning (ML) and neuro-linguistic programming (NLP) to build creative solutions for business problems.
    • Create solutions that will streamline tedious or repetitive business tasks.
    • Convert the machine learning models into application program interfaces (APIs).

    Skills Required to Become an Al Specialist:

    • Proficiency in programming languages like Python, C++, and JavaScript.
    • Linear Algebra, probability, and statistics.
    • Bayesian networking (including neural nets).
    • Cognitive science theory.
    • Engineering.
    • Robotics.
    • Physics.
    The above graph shows the application areas of AI in an organization in percentage as per the source light-it.net
    The above graph shows the application areas of AI in an organization in percentage as per the source light-it.net

    3. Machine Learning

    You must have heard about machine learning a lot of times these days. It is one of the most innovative and rapidly evolving industries that provides lucrative salary packages.

    Machine learning can be defined as the subfield of Al where historical data is used by the software applications to produce accurate results and outcomes.

    Basically, they are doing the task and learning from their experiences without being explicitly programmed to do so.

    Differentiating between illegitimate and legitimate transactions in applications like PayPal and GPay, face detection in images, speech recognition, and medical diagnosis are all popular examples of machine learning.

    According to Payscale, the average machine learning salary in India is Rs 686,281 per year, inclusive of bonuses and profit-sharing.

    What Does a Machine Learning Engineer Do?

    • Design self-running software for predictive model automation.
    • Perform statistical analysis and fine-tune models using test results.
    • Discover, design, and develop analytical methods to support novel approaches to data and information processing.
    • Identify differences in data distribution that affect model performance.

    Skills Required to Become a Machine Learning Engineer:

    • Proficiency in programming languages such as Java, R, Python, and C++.
    • Knowledge of how different machine learning algorithms work.
    • Data evaluation and modeling.
    • Advanced understanding of linear algebra, calculus, and bayesian statistics.
    • Software engineering skills.
    • Knowledge of computer architecture.
    The above graph shows the leading areas of machine learning adoption by organizations in percentage from source 99firms.com
    The above graph shows the leading areas of machine learning adoption by organizations in percentage from source 99firms.com

    4. Cloud Computing

    More and more companies are moving towards cloud solutions.

    It is estimated that by 2025, the cloud will store over 100 zettabytes of data in it.

    In simple words, cloud computing can be defined as the storing and accessing of data and computing services such as servers, data storage, networking, and databases over the internet (cloud).

    According to Ambitionbox, the average annual salary of cloud engineers in India is Rs 5.4 Lakhs. This number is based on 7.7k salaries received from cloud engineers.

    What Does a Cloud Engineer Do?

    • Build and maintain cloud infrastructure.
    • Monitor cloud infrastructure components like networking and security services.
    • Migrate databases of the companies to the cloud.
    • Design cloud solutions for clients.
    • Manage software and hardware associated with the use of cloud computing.

    Skills Required to Become Cloud Engineer:

    • Knowledge of programming languages such as SQL, Java, Python, Ruby, .NET, Golang, and PHP.
    • Cloud database management skills.
    • Understanding of DevOps practices.
    • Knowledge of open standards, such as XML (Extensible Markup Language), SOAP (Simple Object Access Protocol), WSDL (Web Services Description Language), and UDDI (Universal Description, Discovery, and Integration)
    • Linux.

    5. Mobile App Development

    In 2022, the total number of mobile users in the world is estimated to be 6.6 billion.

    By 2023, mobile apps are expected to generate a revenue of $935 billion.

    49% of people open an app 11+ times each day.

    All these stats show us that if a company wants to succeed they need to develop its own apps.

    This means that companies would be actively looking for mobile app developers.

    If you know how to develop an awesome app you can earn a lot of money.

    What Does a Mobile App Developer Do?

    • Understand what are the objectives of the brand and how it aligns with the customer needs.
    • Develop application programming interfaces (APIs) to support mobile functionality.
    • Create, program, and test the app on all mobile platform devices like smartphones and tablets.
    • Coordinate with the UI/UX designers.
    • Ensure all the things are functioning properly both in the front end and back end.

    Skills Required to Become a Mobile App Developer:

    • Proficiency in Java, Kotlin, React.js, and Objective-C.
    • Knowledge of Syntax.
    • Understanding of Ul/UX design.
    • Angular.
    • Cross-platform application development.
    • Expertise in using GIT.

    6. Ul Design

    User Design (UI) refers to the visually appealing elements on the website or app like buttons, toggles, icons, images, colours, typography, and animations.

    Ul designers are in high demand since every other company wants an attractive and convenient interface for their website or app.

    What Does a UI Designer Do?

    • Design all the screens through which a user will move. Add buttons, icons, images, and animations.
    • Decide which fonts and colours to use.
    • Understand human behaviour and make an intuitive interface that is easy on the eye and simple to use.

    Skills Required to Become a UI Designer:

    • Ability to solve problems with innovative solutions.
    • Desire to push the boundaries of design.
    • Attention to detail.
    • Understanding the impact of colours, fonts, and design elements on human psychology.
    • Knowledge of design principles.
    • Expertise in using design tools like Adobe Photoshop, Adobe Illustrator, Figma, Sketch, and Proto.io.

    8. UX Design

    A User experience (UX) is concerned with enhancing the personal experience a user will get through while interacting with your app or website.

    Think of the last time when you were using an app to book a movie ticket or while you were browsing through the website.

    Did you find it easy to navigate?

    Was the experience of using the app smooth?

    The UX designer is concerned with all of these interactions.

    The demand for UX designers is rapidly increasing.

    In 2020, LinkedIn ranked UX design as one of the top 5 in-demand skills.

    On the other hand, Glassdoor has ranked the UX designer job at 24th position in their list of the best 50 jobs to have in 2022.

    What Does a UX Designer Do?

    • Identify the goals, behaviour, and pain points of the user.
    • Understand what problem your brand is trying to solve.
    • Create flow diagrams, prototypes, and wireframing to help the client understand what the final product will look like.
    • Conduct A/B tests, polls, surveys, and usability tests to improve the user experience.

    Skills Required to Become a UX Designer:

    • Wireframing and prototyping.
    • User testing.
    • UX writing.
    • User empathy.
    • Understand how users will interact with your design.

    Key Differences Between UI and UX:

    A lot of people get confused between UI and UX. Although both of them are different things. Both UI and UX designers play a very important role in product development.

    UI Designer UX Designer
    A UI designer focuses on the graphical portions of mobile apps and websites The UX designer focuses on the experience a user has with a product
    Let’s take an example of a hotel booking app. The beautiful fonts, buttons, images, and fonts that you see in the app are UI The loading speed of the app and the total number of clicks that you take to search, analyze and book a hotel on a hotel booking app is UX

    8. Graphic Designing

    Every other company is looking for innovative graphic designers who can visually communicate their brand message, increase brand visibility, build credibility, turn leads into customers and ultimately increase the conversion rate.

    What Does a Graphic Designer Do?

    • Develop the overall layout and production design for books, advertisements, brochures, magazines, etc.
    • Build brand identity by designing logos and selecting the right color palettes and typography.
    • Develop an attractive packaging of a product.
    • Understand the brand message and the psychology of the target audience.

    Skills Required to Become a Graphic Designer:

    • Expertise in using Photoshop, Illustrator, and InDesign.
    • Audience targeting.
    • Understanding of how UI and UX design work.
    • Creativity and ideation.
    • Understanding of colour theory and typography.‌
    The above graph shows an estimated hourly salary of a graphic designer based on their skill level in Dollars
    The above graph shows an estimated hourly salary of a graphic designer based on their skill level in Dollars

    9. Social Media Marketing

    I don’t have to explain to you the importance and craze of social media in today’s world.

    A single notification from Instagram will disturb our whole working schedule.

    Previously, it was used to communicate with our family and friends.

    But, now social media can influence our decisions and change our behavioural patterns.

    Companies use social media to increase brand awareness, generate leads, and increase sales.

    Companies regularly need social media marketers who can utilize the power of social media and help them increase their sales.

    What Does a Social Media Marketer Do?

    • Understand the interests, goals, professions, and demographics of the target audience and create social media posts that resonate with them.
    • Analyze the social media metrics.
    • Stay up-to-date with social media trends and best practices.
    • Engage with the users on social media.
    • Use social listening tools to understand what people are saying about the company on social media.
    • Create ads that generate leads and increase sales.

    Skills Required to Become a Social Media Marketer:

    • Passion for storytelling.
    • Understanding of statistics and analytics.
    • A knack for building strong relationships.
    • Knowledge of colour theory and typography.
    • Expertise in using Facebook Ads.

    10. Copywriting

    Copywriting is the process of crafting persuasive messages for ads, marketing materials, and websites that inspire people to take action.

    If you master the art of copywriting you will definitely earn a lot of money.

    Many people don’t understand the potential of this field.

    But, let me tell you that every business on this planet needs a good copywriter.

    Why?

    Because every business needs someone who can use words that piques curiosity, connect emotionally, and increase sales.

    Difference Between Copywriting and Content Writing:

    Now, a lot of people get confused between copywriting and content writing.

    Although these two fields are completely different, both of them are very important for the functioning of the business.

    Copywriting Content Writing
    The sole purpose of copywriting is to inspire people to take an action like signing up for an email, calling a number, or buying a product. The purpose of content writing is to inform or entertain the readers.
    Copywriting is used in advertising. A content writer writes blogs, social media posts, scripts for videos, whitepapers, etc.
    Copywriters help companies to generate leads and increase sales from the trust built by content writers. Hence, they earn a lot more than content writers. A content writer builds trust for the Copywriters to work upon.

    What Does a Copywriter Do?

    • Brainstorm ideas for marketing campaigns.
    • Pitch marketing ideas to clients.
    • Conduct market research and understand the psychology and behavioural pattern of the target audience.
    • Research about the product and competitors.
    • Write advertisements, slogans, emails, sales letters, speeches, billboards and posters copy, etc.
    • Analyze campaign results.

    Skills Required to Become a Copywriter:

    • Stellar research skills.
    • Ability to write with empathy.
    • Storytelling.
    • Desire to write something new.
    • Understanding of human psychology.
    • Command on sentence structure, grammar, and vocabulary.

    30 High Paying Skills: Top in-demand skills for future
    Here is a compiled list of high-paying skills in demand in 2022. These most in-demand skills will help you secure high-income jobs in the future.


    Conclusion

    Learning any of these on-demand digital skills will ensure you a bright future and with a good experience, you will get a high salary as well.

    Since all of these skills have a huge demand in the future; building a career in these fields will always be fruitful for you.

    Now, it’s not necessary that you have to choose skills from this list only. There are tons of other digital skills that we have not mentioned in this article.

    So, research more about them and find the skill which you find interesting.

    Do courses online and find internships. You can even learn more than 1 skill as well.

    FAQs

    What digital marketing skills are in demand?

    Digital marketing skills that are in demand are Copywriting, Social media marketing, Paid advertising, Search engine optimization (SEO), Search engine marketing (SEM), and Content marketing.

    Which skill is best for the future?

    The skills that will have huge demand in the future are Artificial intelligence (AI), Mobile app development, Cloud computing, Blockchain, Data Science, UI/UX design, etc.

    Which skill makes the most money?

    Some of the high-paying skills are project management, mobile application development, cloud computing, etc.

    What are the 6 basic skills in developing digital skills?

    Six basic skills in developing digital skills are information fluency, collaboration fluency, solution fluency, media fluency, creativity fluency, and digital ethics.

  • Simplilearn Business Model | How Does Simplilearn Make Money?

    Simplilearn is one of the leading certification training providers which provides online professional courses in disciplines such as Cyber Security, Cloud Computing, Project Management, Digital Marketing, Data Science, AI, and Machine Learning, and many more.

    Simplilearn won the 2021 Stevie Silver Award for Customer Service Success for the fourth year in a row and fifth time overall.

    Let’s see how it caters to the training needs of professionals and earns money. The article covers:

    About Simplilearn
    Business Model of Simplilearn
    What’s unique about Simplilearn?
    How does Simplilearn make money?
    Simplilearn Social Media (06 Nov 2021)
    Conclusion
    FAQs

    Highest Paying Certification Course of Simplilearn

    About Simplilearn

    Simplilearn was founded by Krishna Kumar in 2009 with the purpose to help professionals and enterprises to succeed in the fast-changing digital economy. The company provides outcome-based online training across digital technologies and applications such as Big data, Machine learning, AI, Cloud Computing, Cyber Security, Digital Marketing, and other emerging technologies.

    About Simplilearn Founder – Krishna Kumar

    Krishna Kumar | Simplilearn | CEO
    Krishna Kumar | Simplilearn | CEO

    Krishna Kumar completed his Bachelor of Engineering degree from NIT, Suratkal, India. Before Simplilearn, Krishna was the Co-founder and COO at Tech United, a software product company which he exited successfully in 2007 after selling it to a publicly held company. Initially, Simplilearn was started as a technology blog. Later, it became a professional learning startup for project management-related topics.

    Simplilearn – Area of Operation

    Simplilearn is based in San Francisco, Raleigh, North Carolina, and Bangalore, India Simplilearn has helped more than two million professionals and 2000 companies across 150+ countries to get trained, acquire a certificate, and reach their business and career goals.

    Simplilearn – Key Products and Services

    Simplilearn, an online learning platform, began with a project management certificate called Project Management Professional Certification.

    After 4-5 years, it manages to get big and enter into different sectors like IT, management, business analysis, banking, and data analytics.

    In 2011, Simplilearn started to offer additional courses across categories like cybersecurity, cloud computing, project management, digital marketing, and data science. Simplilearn now offers online training, blended classroom training, and exam practice tests in over 400+ courses across 11 major categories.

    Its most popular courses are Artificial Intelligence (AI), data science, digital marketing, project management, cloud, and DevOps.

    The companies’ high engagement curriculum includes self-paced online learning, instructor-led live virtual classrooms, hands-on projects, student collaboration, and 24/7 global teaching assistants.

    Simplilearn has seen a 200% growth in demand for Programming Courses and with that, it has launched a three-pronged approach to take on the goal of training and placing 10 lakh programmers in India by 2023.

    Simplilearn – Target Consumers

    Simplilearn focuses on students and working professionals. It has a paying customer base of over 3 lakhs.

    Krishna Kumar says “We help in providing a learning machine and help you identify if that’s the right fit for you. Maybe there’s something else that is most relevant for you and once you’ve decided, our instructors will teach you. And while you’re learning that topic, you can interact with fellow students and the instructor, and do a lot of practice. Our teaching assistants are available 24/7.”

    Business Model of Simplilearn

    It bridges the gap between the educational institutions and the candidates to gain the best knowledge and proficiency. The courses that are offered by Simplilearn, are certified by Purdue University and IBM. It offers both free and paid courses.

    ‌‌The candidates who are interested in the desired course need to register first by creating an account on Simplilearn. Then, to avail paid courses they have to pay the fee.

    It’s 70% of domestic business comes from cities like Delhi, Mumbai and Bangalore. In 2019, Simplilearn signed a Memorandum of Understanding (MoU) with National Skill Development Corporation (NSDC) to upgrade their digital skills.

    33 courses available in Simplilearn are accredited by NSDC making it a key contributor to the government skill program. The company’s main focus is to get deeper into categories that are going to dominate the tech space which includes cloud, data science, machine learning, and artificial intelligence. Simplilearn derives 30% of its business from reskilling and upskilling different enterprises.

    What’s unique about Simplilearn?

    The thing that makes Simplilearn different from its competitors are:

    • Courses are Purdue University and IBM Certified.
    • Good structure program and excellent lesson plans.
    • Availability of exclusive hackathons and Ask Me Anything sessions by IBM.
    • Capstone from three domains and 25+ projects with industry datasets from Amazon, Uber, Comcast, etc.
    • Job Placement Assistance.

    How does Simplilearn make money?

    ‌‌Simplilearn claims around 60% of its revenue come from overseas markets. Revenue is collected from the candidates after the completion of the program for their certificates. It also earns by charging instructors a fee for every course sale made on its platform.

    ‌‌For the enterprise business deals, Simplilearn receives money from the early-stage startups like Myntra, Swiggy, and Flipkart who use the platform to train their employees. Simplilearn works as B2B(Business to Business), as well as It, operates on a B2C(Business to Consumes) basis.

    Simplilearn Social Media (06 Nov 2021)

    • Facebook – 3,63,323 people like this
    • Instagram – 58,068 Followers
    • Twitter – 28,991 Followers
    • LinkedIn – 2,77,984 Followers
    • Youtube – 1,480,000 Subscribers

    Conclusion

    During the pandemic, the demand for online education has already increased, thereby, increasing the demand for edtech companies. Taking this as an opportunity, Simplilearn comes forward to widen the scope for students and professionals by adding more courses that match the need of its target audience. It carries a strong and effective business model that helps individuals to acquire the skills they need to thrive in the digital economy by providing certification courses.

    FAQs

    What is Simplilearn?

    Simplilearn is an online platform that provides professional certification courses on topics like Cyber Security, Cloud Computing, Project Management, Digital Marketing, and Data Science.

    Who is the founder of Simplilearn?

    Krishna Kumar is the founder of Simplilearn.

    Who are the competitors of Simplilearn?

    Simplilearn’s top competitors include:

    • UpGrad
    • Skillslash
    • Great Learning
    • Digital Vidya
    • Coursera
    • Edureka
    • Unacademy