WHAT YOU
WILL LEARN

  • The basics of Python language and how it applies to data science.
  • How to install and use SciPy, Pandas, NumPy, and Matplotlib in Python.
  • How to use Python to extract essential insights from data structures.
  • Visualizing data using plots with Pandas, SciPy, NumPy, and Matplotlib to gain business insights.
  • The basics of statistics, probability and decision analysis, to understand fundamentals of predictive analytics.

PROGRAM OVERVIEW

Get a hands-on understanding of Python and Analytics.

Various industry domains, including marketing, finance, healthcare, and banking, use data science to derive business solutions or make critical data-driven decisions. In the current global economy, companies need to empower their programmers' data analytics skills with a high-level programming language like Python to gain a competitive edge in the market.

This course does not require any previous knowledge about coding, as Continuing Education in Python will serve as the foundation for students' learning experience in data science. This program's coursework provides students with a detailed introduction to the essentials of Python programming for data analytics purposes. The program will teach students how to derive valuable insights by evaluating data.

Python has become the most popular high-level programming language in the data science world and is used by most companies globally. Unlike other programming languages, Python is a general-purpose coding language used for various software development and programming types besides web development, including writing system scripts, software development, back end development and data science.

PLAN OF STUDY FOR
CONTINUING EDUCATION (CE):

Expert instruction

4 skill-building courses

LIVE OLINE CLASSES

4 SKILL-BUILDING MODULES

3-6 hours per week

MODULES IN THIS PROGRAM


This course provides an overview of Python and the variables, arithmetic operators' functions and data types used in Python. The beginner-friendly course will also teach students how to convert and manipulate data.
This course includes an in-depth study of features in different built-in compound data types of Python. Students will work with these complex built-in data types to become familiar with their operations.
In this course, students will learn how to import and use the Pandas package in Python to analyze and manipulate data using multi-dimensional DataFrames. The coursework also covers using Boolean indexing and Boolean Pandas Series to filter data.
Students will learn how to use Matplotlib for time series plots and basic data visualization in this course. The program will enable students to understand and explore the relationship between two or more variables using scatter and bubble plots.

JOB OUTLOOK

Python is the most popular programming language in the world. Whether you are an aspiring programmer, a business owner, or a working professional, learning Python programming will enable you to work smarter by automating tasks and will increase your value as an employee in the job market.

Job opportunities for certified Python programmer include:

  • Software Developer
  • Python Developer
  • Research Analyst
  • Data Analyst
  • Data Scientist

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