Data Analysis using Python

  • Bachelor Degree/Graduation
  • 4 Months

What You will Learn

  • Connect to Kaggle Datasets, Analyze and manipulate Pandas Data Frame, Data Visualization with Python, Clean and transform. web data with Power BI
  • Publish reports to Power BI Service, Connect to data source with excel, Data cleaning with excel, Create lookups with DAX.
  • Analyze data with Pivot Charts, Join related data and create relationships with Tableau, Data analysis with Tableau ,Explore Pandas Data Frame, Data cleaning with Python
  • Connect to web data with Power BI, Create data visualization with Power BI, Transform less structured data with Power BI, Prep query with excel Power query, etc.
Codestack Academy

Course Format

  • Physical Tutorials
  • Assignments
  • Industrial Projects
  • Certification
Codestack Academy

Course Duration*

  • 1 hr a day
  • 3 days a Week
  • 3 Assignments
  • 1 Project

Course Content

Data Analysis has always been a very important field, a highly demanded skill and a well-paid occupation. Until recently, it has been practised using mostly closed, expensive, and limited tools like Excel or Tableau. 

Python is a popular programming language.

It is used for:

  • web development (server-side),

  • software development,

  • mathematics,

  • Data Analysis

  • Data Visualization

  • System scripting.

  • Python can be used for data analysis and visualization.

Data analysis is the process of  analysing, interpreting, data to discover valuable insights that drive smarter and more effective business decisions.

Data analysis tools are used to extract useful information from business and other types of  data, and help make the data analysis process easier.

Data visualisation is the graphical representation of information and data.

By using visual elements like charts, graphs and maps, data visualisation tools

provide an accessible way to see and understand trends, outliers and patterns in data.

Course Mentor(s)

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Persons Mentored

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Workshops Attended

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