Applied Data Science with Python Specialization

Master Class of Data Science with Case Studies using Python

This Course Cover Topics such as Python Basic Concepts, Python Advance Concepts, Numpy Library , Scipy Library , Pandas Library, Matplotlib Library, Seaborn Library, Plotlypy Library, Introduction to Data Science and steps to start Project in Data Science, Case Studies of Data Science.

What you’ll learn

  • The course provides path to become a data scientist.
  • Problem Solving Approach.
  • Impress interviewers by showing an understanding of the data science concept.
  • Make powerful analysis.
  • Python Basic to Advance Concept.
  • Python Libraries for Data Analysis such Numpy, Scipy, Pandas.
  • Python Libraries for Data Visualization such Matplotlib, Seaborn, Plotlypy.
  • Case Studies of Data Science with Coding.

Course Content

  • Basic of Python –> 20 lectures • 2hr.
  • Advance Concepts of Python –> 19 lectures • 1hr 49min.
  • Python Crash Course –> 1 lecture • 39min.
  • Numpy Library –> 8 lectures • 1hr 21min.
  • Scipy Library –> 1 lecture • 3min.
  • Pandas Library –> 9 lectures • 43min.
  • Matplotlib Library –> 3 lectures • 17min.
  • Seaborn Library –> 1 lecture • 4min.
  • Plotly Library –> 1 lecture • 7min.
  • How to choose the right Charts & Graph for your Data –> 1 lecture • 6min.

Applied Data Science with Python Specialization

Requirements

  • It start with Basics.
  • Only a passion for Learning.
  • All software used in this course is either available for Free or as a Demo version.
  • This course is intended for absolute beginners in programming.

This Course Cover Topics such as Python Basic Concepts, Python Advance Concepts, Numpy Library , Scipy Library , Pandas Library, Matplotlib Library, Seaborn Library, Plotlypy Library, Introduction to Data Science and steps to start Project in Data Science, Case Studies of Data Science.

This is best course for any one who wants to start career in data science.