This course aims to provide you with a comprehensive Introduction to Data Science. We will cover the basics of Python, Statistics and Modelling techniques like Linear and Logistic Regression, Decision Trees.
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Price: INR 5,999 (7,999)
About This Course
The role of a Data Scientist is one of the hottest in the industry. With this course, we aim to provide you with a comprehensive Introduction to Data Science.
We will cover the basics of Python, before moving to Statistics and finally going through various Modelling techniques. By the end of the course, you will have a solid understanding of Data Science and will be able to build an end-to-end predictive model.
Why take this course
This course is an ideal course for people looking to start a career in data science. Several features which make it exciting are:
Easy to understand content - The biggest challenge beginners face is that most of the courses explain data science as a difficult mathematical subject. Not us! We simplify the subject with easy to understand videos and help you build intuition on data science concepts.
Experienced Instructors - All the material in this course was created by Analytics Vidhya instructors who bring in immense experience of data science with them. Combined among us, we have more than a decade of teaching experience.
Industry collaboration - Entire course has been vetted by industry experts. This ensures relevance in industry and enabling you with the content which matters the most.
Real life problems - All projects in the course are based on real life problems. No academic datasets are bring used to ensure that you are ready for real life problems.
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.
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.
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.
This course assumes no past knowledge about Data Science or any tool.
For people undergoing the course, you can call us any time between 9 a.m. - 5 p.m. on Weekdays Monday - Friday on +91-8368253068 or email us on firstname.lastname@example.org
Introduction to Data Science
Data Science Overview
DataHack Summit 2018 (Sponsored)
Basic Python for Data Science
Introduction to Python
Variables and Data Types
Understanding Standard Libraries in Python
Reading a CSV File in Python
Data Frames and basic operations with Data Frames
Indexing a Data Frame
Understanding Statistics for Data Science
Introduction to statistics
Measures of Central Tendency
Understanding the spread of data
Introduction to Probability
Probabilities of discrete and continuous variables
Central Limit theorem and the Normal Distribution
Introduction to Inferential Statistics
Understanding the Confidence Interval and the margin of error
Chi Squared tests
Understanding the concept of Correlation
Module Test - Statistics
Predictive Modeling and the basics of Machine Learning
Introduction to Predictive Modeling
Understanding the types of Predictive Models
Stages of Predictive Models
Reading the data into Python
Univariate Analysis for Continuous Variables
Univariate Analysis for Categorical Variables
Treating Missing Values
How to treat Outliers
Transforming the variables
Basics of Model Building
Module Test - Predictive Modeling
Project 1 - Classification
Project 2 - Regression
Kunal Jain is the founder of Analytics Vidhya. Analytics Vidhya is the community based Data Science portal. Before starting Analytics Vidhya, Kunal had worked in Analytics and Data Science for more than 8 years across various geographies and companies like Capital One and Aviva Life Insurance. He will introduce you to the field of Data Science through this course.
Neeraj Singh Sarwan
Neeraj is working as a data scientist at Analytics Vidhya. He has extensive experience in converting business problems to data problems. He has previously taken several corporate trainings and is also an avid blogger. He’s a graduate of IIT-BHU and will be your instructor for the ‘Python’ and ‘Modeling’ modules.
Pranav is the editor for Analytics Vidhya. He has experience in data visualization and has been previously involved in the learning & development departments of MNCs. He has taken various trainings on statistics & presentation skills and loves to read, write about anything from data science to machine learning. He will be your instructor for the statistics module.
Frequently Asked Questions
Who should take this course?
This course is meant for people looking to learn Data Science. We will start out to understand the pre-requisites, and then go on to solve case studies using Data Science concepts.
When will the classes be held in this course?
This is a self paced course, which you can take any time at your convenience over the 6 months after your purchase.
How many hours per week should I dedicate to complete the course?
If you can put between 6 to 8 hours a week, you should be able to finish the course in 4 to 6 weeks.
Do I need to install any software before starting the course ?
You will get information about all installations as part of the course.
What is the refund policy?
The fee for this course is non-refundable.
Do I need to take the modules in a specific order?
We would highly recommend taking the course in the order in which it has been designed to gain the maximum knowledge from it.
Do I get a certificate upon completion of the course?
Yes, you will be given a certificate upon satisfactory completion of the course.
What is the fee for this course?
The fee for this course is Rs. 7,999.
How long can I access this course?
You will be able to access the course material for 6 months since the start of the course.
Analytics Vidhya offers a high engagement community of data scientists and analytics professionals. You can connect with them to solve cutting-edge problems to hire them or turn them into evangelists of your products and services