Programming For Data Analytics

This course is primarily designed for beginners who can learn concepts related to database management tools such as MySQL, Microsoft SQL and MongoDB.

Created on May 8, 2024 Last updated on May 8, 2024 English

What i will learn?

This course will equip you with the skills and knowledge needed through a series of in-depth modules

Modules for this course

22 lessons 19.0 hours

Modules

22 lessons

Module-1: Course Introduction
Module-2: Python Data Types
Module-3: Python Data Structure
Module-4: Data Processing with NumPy
Module-5: Data Manipulation with Pandas
Module-6: Data Visualization with Matplotlib
Module-7: Data Visualization with Seaborn
Module-8: Interactive plotting with Bokeh
Module-9: 3D plotting with Plotly
Module-10: Geoplotting with Folium
Module-11: Pandas data plotting
Module-12: Introduction to R
Module-13: R fundementals
Module-14: Vectors and Vector Operations
Module-15: Matrices
Module-16: Conditions and Loops
Module-17: Data Frames
Module-18: Data Manipulation
Module-19: Data Visualization using ggplot2
Module-20: Exploratory Data Analysis
Module-21: Hypothesis Testing
Module-22: Linear Regression Analysis

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Description

The job market has witnessed a significant surge in the demand for Python and R language skills due to their growing popularity in recent years. This surge can be attributed to the increased emphasis on data analytics, which has led to a rise in the importance of data visualization. Visualizing data to extract valuable insights has become an essential tool in the data analytics toolkit. The course begins by covering the basics of Python and then proceeds to teach you how to utilize various libraries including NumPy, Pandas, Matplotlib, Seaborn, Bokeh, and more.

₹~~4,000.00~~
discount: 60 %

₹2,500.00

* including GST

Includes:

22 lessons
1.0 Month access

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