One instructor is exclusively dedicated for one student for fast track courses. Normally, cost of such training is at least double than normal fee.
Build the foundational skills for Data Analysis with Python, such as importing, reading, manipulating, and visualizing data.
Master the fundamentals of communicating information efficiently to business users via information graphics. Learn to recognize visual characteristics of data, choose appropriate display mechanisms, and transform data into actionable insights through Data Visualization with Tableau.
Understand the role of statistics in helping organizations take effective decisions, learn its most widely-used tools, and learn to solve business problems using analysis, data interpretation, and experiments.
Explore the fundamentals of Supervised Machine Learning, its key concepts, and types. You will also learn how to pre-process data to prepare it for modeling.
– Classification
-Regression
-Clustering
Time Series Analysis is used for prediction problems that involve a time component. In this module, you will build foundational knowledge of Time Series Analysis in Python and its applications in business contexts.
Learn the applications of Data Analytics to Marketing and Retail. Understand how marketing analytics can be utilized to further marketing objectives and measure, improve, and predict performance.
Learn how the data collected from websites and social media can be used to make business decisions through different types of web and social media analytics.
Learn the applications of Data Analytics in Finance and Risk Management such as fraud detection, credit risk, probability of default modeling, etc.
-Libraries:
-Tools: