Data Science

Krishna Rohith

AI Researcher, ML Engineer

Aspiring for a high paying and challenging career? Get a head-start into one of the most sought after field as a Data Scientist and uplift your CV with this course! 



Course Overview

As the world entered the era of big data, the need for its storage also grew. It was the main challenge and concern for the enterprise industries until 2010. The main focus was on building framework and solutions to store data. Now when Hadoop and other frameworks have successfully solved the problem of storage, the focus has shifted to the processing of this data. Data Science is the secret sauce here. All the ideas which you see in Hollywood sci-fi movies can actually turn into reality by Data Science. Data Science is the future of Artificial Intelligence. 

Therefore, it is very important to understand what Data Science is, and how can it add value to your business.



What you will Learn

  • Data Analysis
  • Data Visualisation and Insights
  • Fundamental principles of Statistics and Data Modelling
  • Machine Learning, Artificial Neural Networks and Deep Learning
  • R, Python, SQL and Tableau
  • Careers in Data Science

About the Course

A career as a Data scientist is one of the best suited professions to thrive, in this century. It requires one to be digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace. However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.

The Solution
Data science is a multidisciplinary field. It encompasses a wide range of topics.

- Understanding the field of Data Science and the type of analysis carried out
- Mathematics
- Statistics
- Python
- Advanced statistical techniques in Python
- Data Visualization
- Machine Learning
- Deep Learning

The focus of this course is to teach topics that are deisgned to teach from the basics and complement each other.

The Skills
1. Intro to Data and Data Science
We know that these buzzwords- Big data, business intelligence, business analytics, machine learning and artificial intelligence - all belong to the field of data science, but what do they all mean?

2. Mathematics
Calculus and linear algebra as they are the subfields data science relies on.

3. Statistics
Statistics helps you frame problems as hypotheses and provides techniques to test the hypotheses and come up with a solution.

4. Python
Python is a relatively new programming language and one can do anything with it! Web applications, computer games and data science are among many of its capabilities. Extremely powerful libraries have been developed to enable data manipulation, transformation, and visualisation. Where Python really shines however, is when it deals with machine and deep learning.

6. Advanced Statistics
Regressions, clustering, and factor analysis are all disciplines that were invented before machine learning. However, now these statistical methods are all performed through machine learning to provide predictions with unparalleled accuracy.

7. Machine Learning
The final part of the program and what every section has been leading up to is deep learning. Being able to employ machine and deep learning in their work is what often separates a data scientist from a data analyst. This section covers all common machine learning techniques and deep learning methods with TensorFlow.

You will become a data scientist from scratch The course has 2 real-time projects - Mini and Major projects, on completion of which you will receive a Certificate. Each project has been designed to be of use for your industrial or final year projects in college and also for your placements or job interviews.

With this course you'll get 24/7 support, so if you have any questions you can post them in the Discussions dashboard and we'll respond to you immediately.

Unlike other courses, this course doesn't just teach Data Science but also motivates the student and creates a sense of interest for the subject too.

About The Coach

Krishna Rohith

An undergraduate student pursuing Computer Science and Engineering, Rohith is a Teaching Assistant for Data Science and Artificial Intelligence at SRM University. He is also an AI Researcher and Rohith’s technical interests lie in Artificial Intelligence and Machine Learning, which makes him enthusiastic about working on cutting edge technologies and projects on Internet of Things and Block chain technology.

Happy Unschoolers

My experience with Unschool has been superb and I learnt a lot from my courses. It was wonderfully taught from the basics. I hope to be a part of more courses at Unschool. Whenever I had a query or was confused, they come to your aid immediately. I wish to see Unschool impacting many more students.

Lokesh Vetcha

 Amity University, Jaipur

The content provided by Unshool is quite helpful because the video shows practically along with theoretical information. Also, it is self-paced which helps us complete the training at our own convenience. The topics covered are also quite helpful and tell us about the real-world applications of a particular subject.

Nikita Mandal

Cummins College Of Engineering for Women


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