Data Analyst with Python

Learn how to analyze data using Python. You will learn the basics of data analysis, operate simple statistical analysis, predict advanced data trends, create data visualization, etc. You will get introduced to Python’s essential tools and libraries for performing data science.

Advanced 0(0 Ratings) 0 Students enrolled English
Created by SkillTechLab Admin
Last updated Wed, 01-Feb-2023
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Course overview

Learn Python to land a job as a data analyst. You will know how to clean, import, visualize and manipulate data, no coding experience is mandatory. End of our training you will be able to read data from sources like CSVs & SQL and will learn to use Pandas, Numpy, Matplotlib and Seaborn to visualize and process data. Through our Data Analyst Python course, you will get the skill of data professional.

 The candidate will also gain experience in hands-on project databases including Walmart data and sales about food consumption globally, grow data manipulation, exploratory data analysis skills and hypothesis testing by completing this course. 

What will i learn?

  • Analyze Python data using a database
  • Describe data acquisition and analysis techniques
  • Identify three Python libraries and us
  • Learn about Python Libraries
  • Create informative, useful visualization for analyzing data
  • Perform common statistical data and get conclusions about data
  • Basic knowledge of Numpy which is basic of all Python
  • Learn to build predictive models and perform predictive analysis
Requirements
  • Data analyst and data scientist interested in Python for performing data science.
  • Business Analyst and Business Intelligence Experts who are keen to know how to perform Python for data analyzing.
  • Software engineers and developers who want to master Python for analyzing data.
  • Candidates who are familiar with basic Python.
Curriculum for this course
15 Lessons 30:00:00 Hours
Module 1: Python fundamentals for data analysis
2 Lessons 04:00:00 Hours
  • video1
    02:00:00
  • video2
    02:00:00
Module 2: Introduction to data understanding and preprocessing
3 Lessons 06:00:00 Hours
  • video1
    02:00:00
  • video2
    02:00:00
  • video3
    02:00:00
Module 3: Data processing and visualization
2 Lessons 04:00:00 Hours
  • video1
    02:00:00
  • video2
    02:00:00
Module 4: Mathematical and scientific applications for data analysis
3 Lessons 06:00:00 Hours
  • video1
    02:00:00
  • video2
    02:00:00
  • video3
    02:00:00
Module 5: Analyzing web data
3 Lessons 06:00:00 Hours
  • video1
    02:00:00
  • video2
    02:00:00
  • video3
    02:00:00
Module 6 Model development and evaluation
2 Lessons 04:00:00 Hours
  • video1
    02:00:00
  • video2
    02:00:00
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Includes:
  • 30:00:00 Hours Live Hands on Classes
  • 15 Lessons
  • Access on mobile and tv
  • Full lifetime access
  • Live interactive session
  • Hands-on training session
  • Demo project experience
  • Doubt clearing session
  • Weekly mock tests and assignments
  • One-to-one online training session
  • Study Materials included sample question papers
  • Compare this course with other