Learn Python for Data Analysis | Online Course at Infyni infyni Kids

Learning python( data Analysis )

In this live online course, you will learn various predictive techniques for analyzing data. We will cover the fundamental principles of Python programming through interactive training. Assignments and assessments with practical real life scenarios. All doubts cleared on the spot with your instructo

Live Course

Live Class:

Enrolled: 0

Duration: 40 Hours

Offered by: Learn academy

Live Course

$116.82

About Course

Data science deals with the analysis of vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions.

This live and interactive course will help you understand analytical techniques with data like exploration, visualization and various predictive analytic techniques by implementing real-life, industry-oriented data science projects with concepts about various popular machine learning algorithms using data science programming language.

Enroll in this course to take a free trial with your instructor. Ask all your doubts. 

Skills You Will Gain

Data manipulation and cleaning Creating insightful visualizations Applying statistical methods to datasets

Course Offerings

  • Instructor Led Live sessions
  • Clarify doubts during session
  • Access Session Recordings
  • Attend on mobile and Tablet
  • Assessments and Competition
  • Direct Messages
  • Feedback from Instructor
  • Full lifetime Resources
  • Certificate of Completion
  • Topics
  • Instructor (1)
  • Python basics, variables, data types, loops, functions
  • Working with Jupyter Notebook and essential libraries (NumPy, Pandas)
  • Importing, cleaning, and transforming datasets
  • Handling missing data, filtering, and grouping
  • Creating charts with Matplotlib and Seaborn
  • Understanding trends, patterns, and correlations
  • Descriptive statistics, probability distributions
  • Hypothesis testing and correlation analysis
  • Basics of regression and classification
  • Using Scikit-learn for predictive modeling