python-for-data-science_optimized
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Python for Data Science

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. Upon its completion, you’ll be able to write your own Python scripts and perform basic hands-on data analysis. This course covers the key tools and libraries used by Python for Data Science including NumPy and Pandas.

Enrolment validity: Lifetime

About This Course

Data science has become the de facto field in computational and predictive statistical analysis and is used by various organizations to make data-driven decisions.

Python is a very versatile language since it has a wide array of functionalities already available. The sheer range of functionalities might sound too exhaustive and complicated, you don’t need to be well-versed with them all. Python has become an indispensable tool for the data science analyst and an important tool for any data scientist.

Most data scientists have a few go-to libraries for their daily tasks like:

  • for performing data cleaning and analysis – pandas
  • for basic statistical tools – numpy, scipy
  • for data visualization – matplotlib, seaborn

Learning Objectives

Learn to use NumPy for Numerical Data
Learn to use Matplotlib for Python Plotting
Learn to use Pandas for Data Analysis
Learn to use Seaborn for statistical plots

Target Audience

  • Anyone who wants to learn Data Science

Curriculum

63 Lessons18h

Introduction to Python for Data Science

Overview of Python for Data Science
Python Essentials
IPython Interactive Interpreter
NumPy Open Source Extension Module
Read/Write in Python
Data Loading and Preprocessing
Practical Exercise

Introduction to Numpy

Introduction to Pandas

Manipulating and Analyzing Data in Pandas DataFrames

Data Visualization Using Seaborn

Advanced Data Visualization Using Seaborn

certificate

10,999.0017,999.00

39% off
Level
Beginner
Duration 18 hours
Lectures
63 lectures
Language
English

Material Includes

  • 1 yr Access
  • Flexible Learning Program
  • Extensive Content for Self-Learning
  • Quizzes / Practical Exercises
  • Downloadable Content – Ebooks
  • Sample Papers
  • Resume support
  • LinkedIn profile optimization
  • Course Completion Certificate
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