OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course Discontinued We've found some alternatives for you:

Top Active Alternatives

Analytics in Python is no longer accepting new enrollments. We've matched the highest-rated active courses in this subject:

Read Reviews → Enroll Active
Read Reviews → Enroll Active
Read Reviews → Enroll Active
Course image
Course image
edX logo

Analytics in Python

3.5 Filled star Filled star Filled star Half star Empty star
Based on 4 ratings
see reviews
Hardeep Johar

Data is the lifeblood of an organization. Competency in programming is an essential skill for successfully extracting information and knowledge from data.

The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data.

In this course, we will first cover the basics of programming and then focus on using Python on the entire data management process from data acquisition to analysis of data big data and small data.

Read more

Data is the lifeblood of an organization. Competency in programming is an essential skill for successfully extracting information and knowledge from data.

The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data.

In this course, we will first cover the basics of programming and then focus on using Python on the entire data management process from data acquisition to analysis of data big data and small data.

This is an intensive hands-on course that will equip and reward learners with proficiency in data management skills.

What you'll learn

  • Become familiar with working with relational databases, using SQL based languages such as MySql, dealing with formatted data (XML, JSON, etc.)
  • Use Python to work with and analyze data from databases as well as from the web
This course is no longer available. Find a similar course by searching these:
python programming python for data analysis data management machine learning data visualization data analysis

What's inside

Learning objectives

  • Become familiar with working with relational databases, using sql based languages such as mysql, dealing with formatted data (xml, json, etc.)
  • Use python to work with and analyze data from databases as well as from the web

Syllabus

Week 2: Python review
Week 6: SQL
Week 7: Data analysis and visualization I
Week 8: Data analysis and visualization II
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops proficiency in data management skills, highly sought-after in industry
Provides a solid foundation for learners seeking to build a career in data management
Covers a comprehensive range of topics in data management, providing a holistic understanding
Taught by experienced instructors with a strong reputation in the field
Examines data management techniques highly relevant to industry
Offers practical, hands-on labs and interactive materials to enhance learning

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Python analytics course

According to students, this course on analytics in Python is a great course for learners who have some familiarity with Python. It covers a wide range of topics, including network analysis and Pandas. However, some learners found that the lectures were too fast and that the course tries to cover too many topics.
Assignments are medium difficulty.
"It's a great course and the assignments are of medium level difficulty."
Lectures are too fast.
"The Lecturer is just way to fast and doesn't go on depth."
Exercises need to be refreshed.
"Besides the exercises/assignments need a refresh, as for some of them they don't work anymore with the unavailability of the apps API they are based on (googlemaps API, yelp API)."
Covers many topics.
"This course is not well constructed."
"It tries to cover too many topics, without doing it properly most of the time: topics are not well or very superficially explained."

Activities

Coming soon We're preparing activities for Analytics in Python. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Analytics in Python will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use their knowledge of data analysis tools and techniques to uncover insights from data. Their insights help companies make better decisions about everything from product development to marketing campaigns. This course would be very helpful to a Data Analyst as it would provide them with a solid foundation in Python, which is a popular language for data analysis.
See salaries and explore the career path for Data Analyst
Statistician
Statisticians use their knowledge of statistics to collect, analyze, and interpret data. They work in a variety of industries, including healthcare, finance, and education. This course may be useful to this role by providing a foundation in Python and data analysis techniques.
See salaries and explore the career path for Statistician
Data Scientist
Data Scientists are responsible for developing and applying statistical and machine learning models to data in order to extract insights that can be used to improve business outcomes. This course may be useful to this role by providing a foundation in Python and data analysis techniques.
See salaries and explore the career path for Data Scientist
Data Engineer
Data Engineers are responsible for designing, building, and maintaining the infrastructure that stores and processes data. They work with a variety of data sources and technologies to ensure that data is available and accessible to users. This course may be useful to this role by providing a foundation in Python and data management techniques.
See salaries and explore the career path for Data Engineer
Data Visualization Analyst
Data Visualization Analysts use their knowledge of data analysis and visualization techniques to help organizations communicate data insights to stakeholders. They work with a variety of data sources and technologies to create visualizations that are both informative and visually appealing. This course may be useful to this role by providing a foundation in data analysis techniques and data visualization.
See salaries and explore the career path for Data Visualization Analyst
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. They work with data scientists to identify the appropriate machine learning algorithms for a given problem and then develop and implement the models. This course may be helpful to this role by providing a foundation in Python and machine learning techniques.
See salaries and explore the career path for Machine Learning Engineer
Financial Analyst
Financial Analysts use their knowledge of finance and data analysis to help organizations make investment decisions. They work with a variety of data sources and technologies to analyze financial data. This course may be useful to this role by providing a foundation in data analysis techniques and finance.
See salaries and explore the career path for Financial Analyst
Operations Research Analyst
Operations Research Analysts use their knowledge of mathematics and data analysis to help organizations improve their operations. They work with a variety of data sources and technologies to develop and implement solutions to operational problems. This course may be useful to this role by providing a foundation in data analysis techniques and operations research.
See salaries and explore the career path for Operations Research Analyst
Database Administrator
Database Administrators work with various stakeholders to ensure that a company or organization's databases operate at peak efficiency and performance. They may also design and implement new databases or modify existing ones to meet changing business needs. This course may be useful to this role by providing a foundation in working with databases.
See salaries and explore the career path for Database Administrator
User Experience Designer
User Experience Designers work with a variety of stakeholders to design and develop user-friendly products and services. They use their knowledge of human factors and data analysis to create products that are both useful and enjoyable to use. This course may be useful to this role by providing a foundation in data analysis techniques and user experience design.
See salaries and explore the career path for User Experience Designer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course may be useful to this role by providing a foundation in Python, which is a popular programming language for software development.
See salaries and explore the career path for Software Engineer
Web Developer
Web Developers design, develop, and maintain websites and web applications. They work with a variety of programming languages and technologies to create websites that are both functional and visually appealing. This course may be useful to this role by providing a foundation in Python, which is a popular programming language for web development.
See salaries and explore the career path for Web Developer
Business Analyst
Business Analysts use their knowledge of business and data analysis to help organizations make better decisions. They work with stakeholders to identify and solve business problems. This course may be useful to this role by providing a foundation in data analysis techniques.
See salaries and explore the career path for Business Analyst
Product Manager
Product Managers are responsible for the development and launch of new products. They work with a variety of stakeholders to define the product vision and roadmap. This course may be useful to this role by providing a foundation in data analysis techniques and user experience design.
See salaries and explore the career path for Product Manager
Marketing Analyst
Marketing Analysts use their knowledge of data analysis to help organizations understand and reach their target markets. They work with a variety of data sources and technologies to measure the effectiveness of marketing campaigns. This course may be useful to this role by providing a foundation in data analysis techniques and marketing.
See salaries and explore the career path for Marketing Analyst

Reading list

We haven't picked any books for this reading list yet.

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Here are nine courses similar to Analytics in Python.
User Experience: Research & Prototyping
Most relevant
Supervised Machine Learning: Regression
Most relevant
JavaScript Full Stack Capstone Project
Most relevant
Sourcing Excellence
Most relevant
Advanced Deep Learning Methods for Healthcare
Most relevant
Sales Operations: Final Project
Most relevant
Using SAS Viya REST APIs with Python and R
Most relevant
App Design and Development for iOS
Most relevant
Introduction to CNN Training
Most relevant

edX Buyer Protection & Guarantee

Verified partner policies & purchase protections

World-Class University Partner
Free Trial & Audit

Free Audit Track Available

Free audit track available for most courses, giving open access to video lectures, course readings, and assignments at no charge.

Return & Refund Policy

14-Day Full Refund Window

14-day full refund available up to 14 days after course start or 14 days after payment (whichever comes second, up to 6 months max), provided verified certificate has not yet been earned.

Buyer Protections

Verified Academic & Industry Partner

University-backed credentials authored by elite institutions like Harvard, MIT, and Oxford, with tamper-proof certificate verification.

Key Purchase Protections
Free audit track for open learning access
14-day money-back guarantee on verified certificates
Prestigious university credentials (Harvard, MIT)
Automatic unenrollment refund process via dashboard
OpenCourser Verified Partner Policy details last reviewed: 2026-10-22
Course image
Rating
3.5 Filled star Filled star Filled star Half star Empty star
Effort
8 to 10 hours per week for 12 weeks
Level
Elementary
Via
edX
Institution
Columbia University
Instructor
Hardeep Johar
Language
English
Transcript
English
This course belongs to a collection called Business Analytics. It's comprised of six courses:
  1. Data, Models and Decisions in Business Analytics
  2. Marketing Analytics
  3. Demand and Supply Analytics
  4. Analytics in Python (viewing)
  5. Marketing Analytics
  6. Marketing Analytics: Data Tools and Techniques
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Develops proficiency in data management skills, highly sought-after in industry
Provides a solid foundation for learners seeking to build a career in data management
Covers a comprehensive range of topics in data management, providing a holistic understanding
Taught by experienced instructors with a strong reputation in the field
Examines data management techniques highly relevant to industry
Offers practical, hands-on labs and interactive materials to enhance learning
Share this
Share to help others discover this course.
Facebook LinkedIn X Reddit Link Email
Begin learning today
This course is currently discontinued or unavailable. See active alternatives above.
Course Unavailable
Save for later
Add this course to your list. Find it anytime.
Save
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser