This Data Analytics with Python course offers a comprehensive journey into mastering programming and data analysis. Start with an introduction to Python, exploring its syntax, versatility, and real-world applications in data science, web development, and automation. Dive into powerful libraries like NumPy for numerical computing, Pandas for data manipulation, and Matplotlib for creating compelling visualizations. Gain hands-on experience solving practical problems and working with real-world datasets to enhance your programming skills. Learn to leverage Python’s capabilities for data-driven tasks and computational efficiency, preparing you for success across diverse industries.
Data Analytics with Python
Data Analytics with Python
Instructor: Simplilearn Instructor
Access provided by Coursera Learning Team
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Master Python basics, including syntax and real-world applications
Use NumPy, Pandas, and Matplotlib for data analysis and visualization
Solve practical problems and work with real-world datasets effectively
Build a strong foundation for advanced programming and data-driven tasks
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
2 assignments
Taught in English
Recently updated!
March 2025
See how employees at top companies are mastering in-demand skills
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 2 modules in this course
This comprehensive Data Analytics with Python course will equip you with the essential skills to program, analyze, and visualize data effectively. You’ll start by mastering Python fundamentals, including syntax and real-world applications in fields like data science, web development, and automation. Explore powerful libraries such as NumPy for numerical computing, Pandas for data manipulation, and Matplotlib for creating stunning visualizations. Gain hands-on experience solving practical problems and working with real-world datasets to enhance your programming capabilities. Perfect for beginners and professionals aiming to unlock Python’s potential for impactful data analysis and decision-making.
What's included
7 videos2 readings1 assignment
Master data visualization with Matplotlib and Pandas, using advanced techniques to analyze and present data.
What's included
8 videos1 assignment
Instructor
Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Recommended if you're interested in Data Science
DeepLearning.AI
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy