Technology

Data Analytics and Visualization with Python

Perform data analysis using Python to uncover new insights and patterns in data. This course covers the implementation of data analysis processes, evaluation of data models, data exploration and statistical analysis, and presentation of data analysis results using visualization techniques.

Course Overview

Data Analysis and Model Evaluation using Python

Embark on a journey of data analytics and visualization with Python. This course is designed for learners looking to harness the power of Python for data analysis and uncover valuable insights. Participants will learn to implement data analysis processes, define hypotheses, and solve problems using Python. The course also covers the installation and use of Python libraries like Pandas for data analysis, qualitative and quantitative analysis, and model evaluation. Learners will gain expertise in data mining, statistical analysis, and presenting findings through data visualization and storytelling techniques. Upon completion, participants will be equipped to perform comprehensive data analysis and effectively communicate their insights.

Learning Outcome

Mastering E-Commerce Strategy for Success

01

Introduction to Python Programming

Learn to define hypotheses, explore data types, and use control structures, functions, modules, and packages in Python.

02

Data Analysis

Install and use the Python Pandas library, import and prepare data, conduct qualitative and quantitative analysis, and evaluate data models.

03

Data Mining and Statistical Analysis

Apply data mining techniques, conduct hypothesis testing, and perform statistical data analysis.

04

Data Visualization and Storytelling

Interpret data using visualization techniques and present findings effectively through data storytelling.

Course Fees

$ 1,500 (excl. GST)

Funding assistance is accessible to qualified candidates. Reach out to us for further information and guidance.


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