Course Duration

00:00:00 Hours

No of Sessions

10

Access

Full lifetime access

Certificate of
completion

What You'll Learn

This course covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results

  • Gain an in-depth understanding of data structure and data manipulation
  • Understand and use linear and non-linear regression models and classification techniques for data analysis
  • Gain understanding in mathematical computing using the NumPy and Scikit-Learn package
  • Master the concepts recommendation engine, & time series modeling & gain practical mastery over principles, algorithms & applications of Machine Learning

Course Curriculum

  • Introduction to the Data Science in Python
  • What is Data Science
  • Introduction to the Python Data Science Tool
  • Introduction to the Python Data Science Environment
  • Introduction to Pandas - Data science Framework in Python
  • Understanding Concepts for Data Pre-Processing \ Wrangling
  • Introduction to Data Visualizations in Python
  • Statistical Data Analysis-Basic
  • Statistical Inference & Relationship between Variables
  • Introduction Power BI

for whom

Fresher Students / IT Professionals / Analytics Managers / Business Analysts

eligibility

  • Freshers & Working Professionals

Testimonials

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Amelia David