Data Scientist Program

About the Course

We have chosen all the important tools and techniques, which are being used in the Analytics Industry, and created a course to prepare a data scientist aspirant at the most economical prices. This course is highly recommended for a person who is just a beginner and wants to shift into the analytics industry. You will be learning 2 of the most important tools of Analytics along with 6 different machine learning algorithms. You will also be learning SQL and MS Excel which are the most supportive tools used along with SAS and R. We also provide a complementary course on CV building and Analytics Mock Interview sessions, conducted by associates employed at least CMMI Level 5 companies. These sessions help a candidate to become ready for a real life interview.

Course Overview

Machine Learning with Python

Python is the most preferred language for Machine Learning and Data Science. It is ideal for handling Big Data and Deep Learning algorithms. This open source software has multiple packages which makes every type of Machine Learning algorithm possible to be deployed. It also lets one to create visualization. This is going to be the next big thing in the Analytics industry.

NLP, DL, XGBoost & other classification techniques with Python

Natural Language Processing, or NLP for short, is broadly defined as the automatic manipulation of natural language, like speech and text, by software. NLP is about taking raw text data and deriving insights and value from it--processing text data using standard techniques in Natural Language Processing and Machine Learning. Text data is available in abundance on the Internet, whether it be reviews, tweets, surveys, web pages or emails. Natural language processing is a powerful skill that helps us derive immense value from that data. In this course, you'll first learn about using the Natural Language Toolkit to pre-process raw text. Next, you'll learn how to auto-summarize text using machine learning. You'll wrap up the course by exploring how to classify text using machine learning. By the end of this course you'll be able to confidently process raw text data and apply machine learning algorithms to it.

Machine Learning with R

R is one of the most powerful and popular programming language among Data Scientists. It is a FREE software and lets the analysts perform most complicated analysis without getting into too much of details. It also lets you to automate most of the MIS reporting which is traditionally getting done in MS Excel. R is having the highest growth rate among all the data science software in India.

Microsoft Excel and Advanced Functionalities

MS Excel (Excel) is undoubtedly the most popular spreadsheet tool in the industry. It is used in almost every business activities, government organizations and even for organizing personal data. Data Scientists, without the knowledge of Excel, is unimaginable. It's diverse functions and ease of using makes it a must have skill set among the Data Scientists.