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Launch Your Dream Carrer with 1st Complete Data Science Platform

End-to-end Data Science Masterclass Platform. From Python, Statistics, Data Analysis mastery to advanced topics like Machine Learning, Deep Learning and Artificial Intelligence. Packed with 1300+ videos. 300+ hours of practical video content and 100+ Top Rated Data Science Books

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Courses that make you Job Ready

Even if you’re a complete beginner, the Skillcept Online Data Science Platform is designed to build up your expertise through intuitive, step-by-step courses that strike the perfect balance of theory and practical knowledge.

We start the whole learning process from scratch. This is one of the things that make us different from other platforms that consider mathematics and statistics a prerequisite. We explain it all, step-by-step, including how to download and install the necessary software (e.g. Excel, Anaconda, Jupyter Notebook, Python, R, MySQL, Tableau Public, etc.)

  1. Have a fundamental understanding of the Python programming language.
  2. Have the skills and understanding of Python to confidently apply for Python programming jobs.
  3. Acquire the pre-requisite Python skills to move into specific branches – Machine Learning, Data Science, etc..
  4. Add the Python Object-Oriented Programming (OOP) skills to your résumé.
  5. Understand how to create your own Python programs.
  6. Learn Python from experienced professional software developers.
  7. Understand both Python 2 and Python 3.
  1. The course provides the entire toolbox you need to become a data scientist
  2. Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
  3. Impress interviewers by showing an understanding of the data science field
  4. Learn how to pre-process data
  5. Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
  6. Start coding in Python and learn how to use it for statistical analysis
  7. Perform linear and logistic regressions in Python
  8. Carry out cluster and factor analysis
  9. Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
  10. Apply your skills to real-life business cases
  11. Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlow
  12. Develop a business intuition while coding and solving tasks with big data
  13. Unfold the power of deep neural networks
  14. Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
  15. Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations
  1. Build artificial neural networks with Tensorflow and Keras
  2. Implement machine learning at massive scale with Apache Spark’s MLLib
  3. Classify images, data, and sentiments using deep learning
  4. Make predictions using linear regression, polynomial regression, and multivariate regression
  5. Data Visualization with MatPlotLib and Seaborn
  6. Understand reinforcement learning – and how to build a Pac-Man bot
  7. Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
  8. Use train/test and K-Fold cross validation to choose and tune your models
  9. Build a movie recommender system using item-based and user-based collaborative filtering
  10. Clean your input data to remove outliers
  11. Design and evaluate A/B tests using T-Tests and P-Values
  1. Gain a Strong Understanding of TensorFlow – Google’s Cutting-Edge Deep Learning Framework
  2. Build Deep Learning Algorithms from Scratch in Python Using NumPy and TensorFlow
  3. Set Yourself Apart with Hands-on Deep and Machine Learning Experience
  4. Grasp the Mathematics Behind Deep Learning Algorithms
  5. Understand Backpropagation, Stochastic Gradient Descent, Batching, Momentum, and Learning Rate Schedules
  6. Know the Ins and Outs of Underfitting, Overfitting, Training, Validation, Testing, Early Stopping, and Initialization
  7. Competently Carry Out Pre-Processing, Standardization, Normalization, and One-Hot Encoding
  1. How to Build an AI
  2. How to Build a Hybrid Intelligent System
  3. Fully-Connected Neural Networks
  4. Convolutional Neural Networks
  5. Recurrent Neural Networks
  6. AutoEncoders
  7. Variational AutoEncoders
  8. Mixture Density Network
  9. Deep Reinforcement Learning
  10. Policy Gradient
  11. Genetic Algorithms
  12. Evolution Strategies
  13. Covariance-Matrix Adaptation Evolution Strategies (CMA-ES)
  14. Controllers
  15. Meta Learning
  16. Deep NeuroEvolution
  1. Connect to Kaggle Datasets
  2. Explore Pandas DataFrame
  3. Analyse and manipulate Pandas DataFrame
  4. Data cleaning with Python
  5. Data Visualization with Python
  6. Connect to web data with Power BI
  7. Clean and transform web data with Power BI
  8. Create data visualization with Power BI
  9. Publish reports to Power BI Service
  10. Transform less structured data with Power BI
  11. Connect to data source with excel
  12. Prep query with excel Power query
  13. Data cleaning with excel
  14. Create data model and build relationships
  15. Create lookups with DAX
  16. Analyse data with Pivot Tables
  17. Analyse data with Pivot Charts
  18. Connect to data sources with Tableau
  19. Join related data and create relationships with Tableau
  20. Data Cleaning with Tableau
  21. Data analysis with Tableau
  22. Data visualization with Tableau
  1. Become an expert in Statistics, SQL, Tableau, and problem solving
  2. Boost your resume with in-demand skills
  3. Gather, organize, analyze and visualize data
  4. Use data for improved business decision-making
  5. Present information in the form of metrics, KPIs, reports, and dashboards
  6. Perform quantitative and qualitative business analysis
  7. Analyze current and historical data
  8. Discover how to find trends, market conditions, and research competitor positioning
  9. Understand the fundamentals of database theory
  10. Use SQL to create, design, and manipulate SQL databases
  11. Extract data from a database writing your own queries
  12. Create powerful professional visualizations in Tableau
  13. Combine SQL and Tableau to visualize data from the source
  14. Solve real-world business analysis tasks in SQL and Tableau
  1. Forecasting stock prices and stock returns
  2. Time series analysis
  3. Holt-Winters exponential smoothing model
  4. ARIMA
  5. Efficient Market Hypothesis
  6. Random Walk Hypothesis
  7. Exploratory data analysis
  8. Alpha and Beta
  9. Distributions and correlations of stock returns
  10. Modern portfolio theory
  11. Mean-Variance Optimization
  12. Efficient frontier, Sharpe ratio, Tangency portfolio
  13. CAPM (Capital Asset Pricing Model)
  14. Q-Learning for Algorithmic Trading
Unlock Industry Recognized Certification

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Earn a certificate that actually means something. Not just a certificate of completion, but a prestigious certificate of achievement with verifiable credentials.
No More Steps: Land your Dream Job at Top MNCs and Startups
Over 500+ Top MNCs and Startup as Hiring Partners
Why Skillcept Online?

Because Only One Time Courses are not enough

It’s no secret how Data Science is advancing at a rapid rate. New, more powerful software and AI’s are being released every day, meaning it’s crucial to stay on top with the latest knowledge to build a good career in Data Science and only doing courses once doesn't cut it anymore so we have added many exclusive features for our Platform to overcome this barrier.

Access to Data Science Books

Books can be a valuable source of learning Data Science because they provide a comprehensive and in-depth understanding of the subject matter and often more research extensive that any course possible

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New Courses Quarterly

As the technology evolves, You should too. As New, more powerful software and AI’s are being released often make old knowledge obsolete. To make sure you can keep up to date with new tech, We will update and also add new courses every 3 months as absolutely free updates.

1st Fully Gamified Platform

Skillcept Online is fully gamified experience which makes your learning experience fun and worthwhile, Level while Gaining XP and keep yourself motivated while your Data Science Learning Journey

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AI Support Assistant

Mentor Support is good but they have limitations, So we have added additional personalized AI Support Assistant for you. Ask DataWise anything about Data Science, It got you covered.

Portfolio-worthy Projects

Although, we cover over whooping 35+ Industry Projects in our Courses, Capstones and Live Client Projects are still unbeatable and we have made sure to add Plenty of them to make sure that your portfolio get a unfair boost than others.

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Our Pricing is not a hassle

The Best all-in-one Data Science Platform…

Without the High Costs

Join over 1,50,000 successful professionals who have leveraged our Platform to launch their Data Science Career

Pro


For individuals who want to upskill to land a job in Data Science

₹4,999

Features you will love
14-Day Money Back Guarantee

Pro+

For individuals who want to upskill to land a Job and build a 10+ Years Career with constant growth in Data Science

₹11,999

Features you will love
14-Day Money Back Guarantee
India's Highest Rated Data Science Platform

We’ve helped over 1,50,000+ students completely change their lives. You can be Next..

Frequently Asked Questions

General Questions

Clear all your doubts related to our Courses, Processes, Content and Platform

No, there are no prerequisites for enrolling.  Everything you need to know is included in the program.

We start the whole learning process from scratch. This is one of the things that make us different from other platforms that consider mathematics and statistics a prerequisite.

We explain it all, step-by-step, including how to download and install the necessary software (e.g. Excel, Anaconda, Jupyter Notebook, Python, R, MySQL, Tableau Public, etc.)

How long you take to complete all courses in the program may change depending on the following factors:

  1. You’re working full-time or part-time. We have plenty of employed students who devote several hours per week to the program and find their ideal balance between work and learning. Of course, this will extend the amount of time the program takes, but this is up to how the individual prefers to manage their time.
  2. Your prior experience and knowledge level. Everyone joins our program at different levels and while our courses are great for beginners as well as experts, how much you already know about programming will naturally affect how fast you proceed. For instance, if a student starts from scratch, works part-time and completes all courses, 8-9 months is sufficient time. However, if someone already knows programming, statistics, and related areas, they’ll likely only need 4-6 months.
  3. Motivation and engagement. While we design our courses to be as interesting and engaging as possible, there is a degree of individual responsibility in terms of learning time. Like any educational undertaking, you get back what you put in.

Please note that our courses are continually being reviewed and improved wherever possible. When more materials and new courses are added, this will increase the overall timeframe for completion.

For EPIC subscription, all modules are covered in 8-9 months in Live classes

Our program is here to challenge and educate you – not stress you out! We understand that many of our students are undertaking the courses together with working, other studies, and daily life.

As such, there is no time limit on completing the program, meaning that you can shape it around your life and plans as much as you like. And, whether you finish a course in a week, month, or year, you’ll still be 100% eligible to receive all of the certificates that you have unlocked.

The main requirement is that you make the most out of the program. While we have developed our materials and platform to be as accessible and engaging as possible, the speed at which you complete the program will depend on how much time and effort you’re willing to invest.

If you have any questions or concerns about balancing your life with the program, just get in touch with us and we’ll be happy to give you advice.

There will be certain deadlines for some features according to the subscription you choose, Please read terms and conditions while subscribing to know more.

We have developed the program in a specific and deliberate way for you to learn the different areas of data science in a logical and efficient manner.

That’s why we have divided our Course Library into 8  courses. Each course contains individual sections with quizzes and practice exams to test your knowledge and build your practical skills. As the program's creators, we believe this is the best way to get the most out of the materials without feeling overwhelmed or confused. Simply navigate to your Course Library to access the modules.

For Freshers, It is highly recommended to do courses in given order only. If you have prior knowledge, You can do it in your preferred order.

Even if you’re a complete beginner, the Skillcept Online Data Science Platform is designed to build up your expertise through intuitive, step-by-step courses that strike the perfect balance of theory and practical knowledge.

To start at the very beginning, we recommend that you start the courses in order they are given in course library.

From the fundamentals through the expert topics, you will acquire valuable skills, including how to download and install the necessary software (e.g., Excel, Anaconda, Jupyter Notebook, Python, R, MySQL, Tableau Public, etc.). This is one of the things that make us different from other platforms that consider mathematics and statistics a prerequisite.

If you have any questions at any time during the program, we have a robust and active Support Portal where other students can post questions and get responses from our experts team or you can also ask DataWise (your Personal AI Support)

The courses will be in International English only. 

Yes, you can.

We recommend using a computer for taking the course as the programming parts of the course are not well suited for learning on a mobile device.

This means that any prospective employer can contact us or visit verify certification URL to receive official confirmation that you have completed the data science program and receive a list of the skills you have acquired.

For the time being, our platform shows progress for the individual courses! Once you have completed all individual courses, you will have completed the whole program.

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