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
  • 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: 33 %
3,000.00
* including GST
Includes:
  • 22 lessons
  • 1.0 Month access
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