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All Data Science Package

Language: English

Valid Till: 2024-04-30

₹9999 75.01% OFF


40% Cashback as Credits


Why this course?


Data Science has been one of the most sought after profession in the recent past. 

By 2022, data scientists and analysts will become the number one emerging role in the world – World Economic Forum
The rise of data science needs will create roughly 11.5 million job openings by 2026 – US Bureau of Labour Statistics
“Data science is the present and the future of mankind and has the potential to revolutionise the way our life is organised today.” – Dr Abhijit Dasgupta, Director of the Bachelor of Data Science program at SP Jain School of Global Management
Artificial Intelligence Specialist, Robotics Engineer and Data Scientist were top 3 emerging jobs in 2019 – LinkedIn
Global client spending on analytical consulting reached USD 43 billion – Great Learnings
More lucrative the field, higher the competition. Hence, it becomes more important than ever to prepare yourself for the field.
This All Data Science Package covers:
  • 6 Mock interviews by Data Scientists
  • Statistics
  • Linear Regression
  • Logistic Regression
  • Stock Market Prediction
  • Random Forest
  • Sentiment Analysis
  • Propensity Modeling

in depth and provides mulitple conceptual questions, hands-on implementation guides, case studies and hundred of practice questions.

In case of any query, please reach out to us at

Package Contents

Introduction to Robotic Process Automation (RPA)
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Ace Linear Regression
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Propensity Modeling using XGBoost and Logistic Regression
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Network Graphs and Theory
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Everything About Logistic Regression
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Stock Market Prediction using SVM and Random Forest
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All You Need to Learn About Statistics
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Learning Random Forest and It's Nuances
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Sentiment Analysis
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How to Use

After successful purchase, this item would be added to your courses.You can access your courses in the following ways :

  • From the computer, you can access your courses after successful login
  • For other devices, you can access your library using this web app through browser of your device.


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