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FLASH SALE! Get Flat 55% off on our Popular ‘Introduction to Data Science’ Course!


“Without data, you’re just another person with an opinion.” – W. Edwards Deming

The role of a data scientist is the most sought after in the industry these days. If you are one of those aspiring data scientists, but don’t know where to start, you’ve come to the right place! We are excited to announce an exclusive 48-hours flash sale, starting today at 12.48pm till 21st July 12.48pm, on our most popular and best selling-course –

Introduction to Data Science‘!

The course will be available for Rs. 5,310 ($77.48) on our trainings platform for the entirety of this flash sale. Apply your exclusive coupon code: FLASH55 and enroll at a mind-boggling 55% discount (the list price for this course is Rs. 11,800).

This is the ultimate unmissable opportunity to take your first step towards becoming a data scientist.

Enroll NOW on this link before the offer expires!


Highlights of the Course

This course covers the basics of Python, before diving into the world of statistics and probability and finally a detailed go-through of the various data science modeling techniques commonly used in the industry. The course has been curated and taught by experienced instructors from Analytics Vidhya and requires no prior knowledge of data science or Python.

Below is a summary of the learning modules covered in this course:

  • Introduction to Data Science: This module is especially designed to give you a taste of what Data Science entails & its applications
  • Basic Python for Data Science: Learn Python from scratch in this module and it’s various nuances
  • Understanding Statistics and Probability for Data Science: You will get to learn one of the core components of Data Science, specifically Descriptive Statistics, Inferential Statistics, and Probability
  • Predictive Modeling (and the basics of Machine Learning): This module will be an introduction to predictive analytics, including data exploration and overview of various popular machine learning techniques

One of the most unique aspects of this course is the real-life projects we provide. We firmly believe in practicing what you learn, and our core belief is reflected in how we have structured the projects. Check out the projects below:

Project Image #1

Identifying the best agents

Your client is a Financial Distribution company. Over the last 10 years, they have created an offline distribution channel across country. They sell Financial products to consumers by hiring agents in their network. These agents are freelancers and get commission when they make a product sale.


Project Image #2

Sales Prediction for a large Supermarket

The data scientists at BigMart have collected sales data for 1559 products across 10 stores in different cities for an entire year. Also, certain attributes of each product and store have been defined. You will build a predictive model to forecast the sales of each product at a particular store.


Project Image #3

Predict the Titanic Survivors

You will analyse what kind of people were likely to survive in Titanic tragedy. You will apply machine learning tools to predict which passengers survived the tragedy.



Check out a sample video from the course, which covers the difference between forecasting, predictive modeling and machine learning:

Enroll NOW!

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