Data Scientist
₹ 4.4 LPA – 5.5 LPA
Data Analyst
₹ 6.4 LPA – 8.5 LPA
Data Mining Engineer
₹ 8.4 LPA – 13.5 LPA
Data Architect
₹ 10.0 LPA – 12.5 LPA
Project Manager
₹ 10.4 LPA – 17.5 LPA
What is Data Science?
After taking this program you will be able to answer this question, and get a thorough understanding of what is Data Science, what data scientists do, and learn about career paths in the field.
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people using data to derive insights and predict outcomes have carved out a unique and distinct field for the work they do. This field is data science. In today’s world, we use Data Science to find patterns in data, and make meaningful, data driven conclusions and predictions. This course is for everyone, and teaches concepts like Machine Learning, Deep Learning, and Neural Networks and how companies apply data science in business.
The tools for data science
In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them.
You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what each tool is used for, what programming languages they can execute, their features and limitations. This course gives plenty of hands-on experience in order to develop skills for working with these Data Science Tools. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R, or Scala.
Data Science Methodology
you will learn: – The major steps involved in practicing data science – Forming a business/research problem, collecting, preparing & analyzing data, building a model, deploying a model and understanding the importance of feedback – Apply the 6 stages of the CRISP-DM methodology, the most popular methodology for Data Science and Data Mining problems – How data scientists think!
Databases and SQL for Data Science with Python
Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data Scientists, Data Analysts and Data Engineers. Much of the world’s data resides in databases. SQL is a powerful language used for communicating with and extracting data from databases.
In this course you will learn SQL inside out- from the very basics of Select statements to advanced concepts like JOINs. You will: -write foundational SQL statements like: SELECT, INSERT, UPDATE, and DELETE -filter result sets, use WHERE, COUNT, DISTINCT, and LIMIT clauses -differentiate between DML & DDL -CREATE, ALTER, DROP and load tables -use string patterns and ranges; ORDER and GROUP result sets, and built-in database functions -build sub-queries and query data from multiple tables -access databases as a data scientist using Jupyter notebooks with SQL and Python -work with advanced concepts like Stored Procedures, Views, ACID Transactions, Inner & Outer JOINs
Understanding Advanced level concepts
Get the idea of advanced level concepts in this domain.
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Pradeep S
Student
I really enjoyed learning through program I like the way of learning (gamification). I understand all the concepts very clearly and It is exciting to learn this way.
I enrolled other program of Exaltica also! It is a great learning experience.
