Start Date testNovember 10, 2021
More Start Dates
The program length for day and evening classes may vary based on the number of scheduled hours per week. Holidays, school closings, and internship schedules may cause the program completion dates to vary as well.
1 Month
The standard classroom schedule is provided here. The clinical internship schedule will vary based on the clinical site. Students must follow their assigned internship schedule, not the AIMS Education class schedule, academic calendar, or the observed holidays and breaks.
Monday - Friday
Cost $549
Delivery Method Online
Financial Assistance
Other financial aid options may be available for this program (scholarships, training grants, VA benefits, etc.). Please contact our financial aid department to learn more.
Course Overview: 

This Data Science with Python certification course provides you an understanding of Data Analysis, Data Wrangling, Data Exploration, Data Visualization, Machine Learning, Python programming, Web scraping, and Natural Language Processing concepts. You will gain hands-on exposure to performing high-level mathematical computations and Data Analysis and Manipulation using data structures and tools.

Course Highlights
  • 68 hours of blended learning
  • 4 industry-based projects
  • Interactive learning with Jupyter notebooks labs
  • Lifetime access to self-paced learning
  • Dedicated mentoring session from faculty of industry experts
Course Delivery Method: 

Online Bootcamp – Online self-paced Video learning and live virtual classroom conducted by industry’s leading coaches. This course includes Simpliearn’s Integrated lab platform.


There are no prerequisites for taking the Data Science with Python certification course, but it is recommended that you begin with the courses – Python for Data Science, Math Refresher, Data Science in Real Life, and Statistics Essentials for Data Science offered as free companions with this course.

Skills Covered: 
  • Data analysis
  • Data wrangling
  • Data exploration
  • Data visualization
  • Mathematical computing
  • Web scraping
  • Hypothesis building
  • Python programming 
  • NumPy and SciPy package
  • Natural language processing (NLP)
Learning Path
  • Lesson 1

    Data Science Overview

  • Lesson 2

    Data Analytics Overview

  • Lesson 3

    Statistical Analysis and Business Applications

  • Lesson 4

    Python Environment Setup and Essentials

  • Lesson 5

    Mathematical Computing with Python (NumPy)

  • Lesson 6

    Scientific computing with Python (Scipy)

View more

  • Lesson 7

    Data Manipulation with Pandas

  • Lesson 8

    Machine Learning with Scikit–Learn

  • Lesson 9

    Natural Language Processing with Scikit Learn

  • Lesson 10

    Data Visualization in Python using matplotlib

  • Lesson 11

    Web Scraping with BeautifulSoup

  • Lesson 12

    Python integration with Hadoop MapReduce and Spark

Who Will Benefit: 

This Data Science with Python certification course is well-suited for Analytics professionals willing to work with Python;  IT professionals; and anyone with a genuine interest in the Data Science field.

Key Learning Outcomes: 
  • Understand the essential concepts of Python programming such as datatypes, tuples, lists, dicts, basic operators, and functions 
  • Perform high-level mathematical computations using the NumPy and SciPy packages and their large library of mathematical functions 
  • Perform data analysis and manipulation using data structures and tools provided in the Pandas package 
  • Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline 
  • Use the Scikit-Learn package for natural language processing and matplotlib library of Python for data visualization
Certification Criteria:
Online Classroom:
  • Attend one complete batch of Data Science with Python training
  • Submit at least one completed project
Online Self-Learning:
  • Complete 85% of the course
  • Submit at least one completed project.

Career Outlook

Expected Growth (2019 – 2029)*
  • 15%
Annual Average US Salary*
  • $92,00 - $140,000
Demanding Fields
  • Informaon Technology
  • Finance
  • Retail
  • Real Estate
  • Engineering
  • Hospitality Management
  • Business Consulng
Job Opportunies for Professionals
  • IT Developers
  • Analytics Managers
  • Information Architects
  • Analytics professionals
  • Experienced professionals
  • Beginners or Recent
          Graduates in Bachelors or
          Master’s Degree

*Salary and job outlook information comes from the US Bureau of Labor Statistics and Projections Central. Employment outcomes are not guaranteed.

Tools covered