Data Science jobs are the sexiest jobs of the 21 st century with an average salary of around 7 - 11 Lakhs per annum. However, one doesn't get recruited as a Data Scientist unless they have the required skillsets. In this course we have combined all the most important tools and techniques, which are required to master in order to get a job as a Data Scientist. A novice/fresher can take up this course to master the required skillsets, taught by the Industry Professionals.

• Hours 107
• Fees ₹ 40K
• Case Study 34

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.

• Hours 33
• Fees ₹ 18K
• Case Study 14

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.

• Hours 27
• Fees ₹ 15K
• Case Study 14

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.

• Hours 33
• Fees ₹ 18K
• Case Study 14

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.

• Hours 12
• Fees ₹ 10K
• Case Study 6

SAS is one of the most sought after language commercially. The demand for SAS has been propelled by the fact that it's been the easiest to learn among all the software which is being used in the Data Science industry. SAS has a robust data handling and exhaustive Machine Learning capabilities which makes it almost indispensible skill set for a Data Scientist to have.

• Hours 33
• Fees ₹ 18K
• Case Study 14