Learn to be a data scientist from scratch

Complete course in Data Science

12 months
18th December
Course rating
4.6 / 5.0
Партнер курса

Complete course in data science

Learn to be a Data Scientist from scratch
Python, NumPy, BeautifulSoup,
Feature Engineering, Pandas
For beginners
Best for
• those who want to by a junior Data Scientist
12 months
9th October
Course rating
Партнер курса
Why Data Science?
Data Science professionals are needed in all areas of business: from marketing and sales to developing new products, from finance to management. Only last week there were 500 new job openings, not to mention that data science tools are necessary for a wider range of professions.
Microsoft, Oracle, Flipkart and many other companies are looking for professionals in data analytics. Retail, cybersport, travel, education – thourough data analysis is needed in all industries.
Best suited for
You dream to master a profession of a Data Scientist from scratch. In order to achieve it you wouldn't need any special knowledge outside of the school math. During the course you would get all the advanced math skills and Python programming skills, sufficient to solve machine learning problems for business.
In just a year, you would add to your portfolio projects such as a recommendation system, multi purpose neural networks, you would take part in Kaggle competitions and hackathons. Your experience as a developer would allow you to quickly start gaining new skills and master a profession of a Data Scientist.
Data analyst
You already work with vast amounts of data, write SQL requests and you wish to add new instruments, learn to work with data warehouse, use Hadoop and Spark and completely change your career within just a year. During this time, you become proficient with Big Data tols and you will be able to become a Data Scientist.
The course consists of the following modules
Курс по нейронным сетям и deep learning
Data-driven management
Machine Learning

Deep Learning

Data Engineering

Average salaries
The average data scientists salary is ₹698,412. An entry-level data scientist can earn around ₹500,000 per annum with less than one year of experience. Early level data scientists with 1 to 4 years experience get around ₹610,811 per annum.
A mid-level data scientist with 5 to 9 years experience earns ₹1,004,082 per annum in India. As your experience and skills grow, your earnings rise dramatically as senior-level data scientists around more than ₹1,700,000 a year in India!
Course outline
Basic Python + Python for data analysis
Introduction to Python
Data analysis in Pandas and NumPy
Data cleaning, data visualization and feature engineering
Working with files, html-pages and API
16 units
2 months
Math & Stat for Data Science
Linear algebra
Calculus and optimization methods
Statistics and probability theory fundamentals
Time series analysis and other mathematical methods
8 units,
2 months
Machine Learning practice
Intro to machine learning
Data preparation
Core machine learning models
Assessing the quality of an algorithm
8 units,
2 months
Deep learning and neural networks
Tensorflow framework, Keras library and others
Convolutional Neural Networks and computer vision
Recurrent neural networks
Natural language processing and other DL applications
11 units,
2 months
Data Engineering
ETL and BI
AWS and Azure cloud technologies
11 units,
2 months
Management in Data Science
Data Science in production
Evaluating model effectiveness for business
Managing projects and teams for data science
Communicating with business stakeholders
4 units,
1 month
Get full curriculum
And a detailed study plan for Data Science Specialization
What awaits you during the course?
Career change – requires a lot of effort. Apart from learning new technologies, you need to adopt a new approach and new mindset. It is hard to cope with it alone. We will be your partner in learning, who not only provides learning materials, but also motivates you to study and apply new skills in practice.
Experts & support
A team of mentors reviews your code and provides feedback, who help you work through complicated topics and share professional tips and tricks. Support in chat works 24/7.
Student community
You would study in a group of beginners like you. You would give each other feedback on your projects, exchange pieces of code, help find bugs and share business tasks.
Get help from tutors
From the first week of studying tutor would help you set career goals and stay on track in your journey.
Career center
Career center will help you create a compelling CV and start getting the interviews.
Your skills after completing the course
Junior Data Scientist
I confidently can:
Use core algorithms and data structures in Python

Visualize data using Pandas, Matplotlib, Seaborne

Create production-level models using classical machine learning and neural networks for solving Data Science problems

Evaluate quality of a model (precision/ recall)

Integrate a solution in production and business environment in general

Work with various types of data warehouse

Work with Big Data tools

Get data from web and using API

Apply methods from calculus, linear algebra and probability theory to analyze the data

Course team
Rajan Singh
Chief instructor,
Data Scientist @ Google San Francisco
Archit Chaudhry
Data scientist @ Microsoft, Redmond
Prashant Aggarwal
Data engineer @ Facebook
Sujay Gaonkar
Machine Learning Engineer
Become professional Data Scientist
in just 12 months
What you get on the course
Mentor from the industry
During the course a mentor with industry experience helps you resolve doubts
Help in
Opportunity to get internships in partnering companies and access to exclusive job openings for the graduates
Competitions and
Kaggle competitions in machine learning and deep learning
CodingInvaders certificate
Certificates for completing 6 modules of a course.
Course starts
on December, 18
6 places left
Christmas Sale Offer (scroll down) -50%
till 11th December
Program Price 1,90,000 94,800 (incl. taxes).
No cost EMI available.
Rs 7,900
/ month
Rs 15,833 / month
Our students work in the following companies
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