Data Analytics with Python | IT Training & Certification | Info Trek
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Data Analytics with Python


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RM 2600.00
  1. 2 Day with 08 hours per day
  1. Mon 27 Jun 09:00 - Tue 28 Jun 17:00
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  2. Certificate of Attendance available
  1. 2 Days
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Data Analytics with Python


Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more.


Anyone who wants to use Python programming language to do Data Analysis


Python programming knowledge preferred.


This program will be conducted with interactive lectures, PowerPoint presentation, discussion and practical exercise.


The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and Data Frame as the central data structures for data analysis, along with tutorials on how to use functions such as group by, merge, and pivot tables effectively. By the end of this course, participants will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.

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Module 1: Python Programming Refresher
Module 2: Importing libraries
Module 3: Creating data sets and data frames
Module 4: File Operations (Reading/Writing): CSV, TXT, & MS EXCEL
Module 5: Database Operations: MySQL
Module 7: Data Manipulation, simple statistics and data plotting using Pandas

• Finding Maximum & Minimums

• Calculating and identifying outliers
• Indexing and Selecting Data
• Reshaping and Pivot Tables
• Time Series / Date functionality
• Categorical Data
• Simple Statistical Analysis

Module 8: Visualization

• Basic Plotting

• Plot Customization

Thayanithy Jegan

Thayanithy Jegan

Has a strong career, spanning over 19 years of Technical & Management experience. Technically sophisticated professional with a pioneering career reflecting strong leadership qualifications coupled with analysing user requirements, conceptualizing capabilities, software development and successful implementation of developed solutions. Clear communication and intuitive thinking have equipped me with skills required to achieve best results. Read More

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