Intro to Data Science with Python
Master the most in-demand data skills in live sessions with a Harvard instructor. Learn Data Science with Python from scratch in 4 weeks, in our focused, hands-on course.
4 X 45-minute instructor-driven sessions, self-paced online videos and homework
Intro to Data Science with PythonGET SYLLABUS
According to the Bureau for Labor Statistics, jobs requiring data and coding skills are growing 12% faster than the market average, and demand for qualified employees with advanced data skills has never been higher.
What our students say
"This was a fantastic course. Claudia is a great teacher and super knowledgeable. She really helped us feel heard, and explained complicated concepts in an accessible way."
Li Wei F.
"The instructions were clear, and the class was well-paced. I do marketing analytics, and this class really helped me get comfortable enough with Python to start using it at work. Thank you!"
"Ciprian is everything that a great teacher should be - patient, knowledgeable, and good at explaining complicated concepts in simple terms. For the first time ever, I feel like I get programming, and I'm excited to go and keep learning more!”
"What a fantastic class! Ciprian is an incredibly effective communicator and teacher, who really cares about his students and won't leave anyone behind. I signed up for this SQL class in order to prepare for upcoming job interviews, and I feel a lot more confident in my ability to use SQL to query and analyze data.”
Claudia is a Data Scientist and Co-Founder at Edlitera, a company dedicated to delivering Ivy League-quality technology education, and enabling people to build careers they are passionate about. In addition to her role at Edlitera, Claudia also holds a Faculty role at Harvard University.
Prior to starting Edlitera, Claudia worked in biotech, marketing technology, and in ecommerce on Wayfair’s Data Science team. She is a passionate advocate for diversity in tech, and she is also the founder of Data Women, a Boston-area group for women in Data Science and Analytics. Claudia earned her degree in Economics from Yale, with a focus on Statistics and Computer Science.
Relevant and effective content
Learn programming through live sessions with instructors & mentors, hands-on coding, self-paced videos and weekly practice exercises.
A vibrant and engaging community
Expand your network and draw inspiration from your fellow students. Get unstuck and keep moving forward with support from expert instructors and mentors.
Structured learning that fits your schedule
Sometimes, life gets in the way and you need to miss a session. Worry not! You will be able to review the session recording first thing the next day and not miss a thing. Plus, with the unlimited support of our instructors and mentors, no question ever goes unanswered.
Harvard University courses, taught by Harvard University instructors
Our courses are designed and taught live by US-based Data Scientists and Engineers, so you learn first-hand all the real-life skills that will make you successful in your career. Also, ours are the only online data science courses that have been taught at Harvard University Extension School by our instructors.
From here, go anywhere
Past students have taken this course to prepare for data science and analytics job interviews, for enrollment in a traditional Master’s degree program, or for using programming and data skills to innovate in their current jobs or personal projects. Where will you go next?
What you will learn
Introduction to Programming for Data Science
Get started writing and running Python programs on your computer using Jupyter notebooks, and learn the basics of data in Python.
Introduction to Exploratory Data Analysis
Learn programming building blocks such as data structures and control flow, and dive into the basics of data analysis using the Pandas library.
Data Visualization and Advanced Analysis
Learn how to aggregate, summarize, and visualize data in Python using libraries such as Pandas and Matplotlib. Also, learn important strategies for data cleaning and troubleshooting using advanced Pandas functionality.
Machine Learning Fundamentals
Learn how to make accurate predictions from data using the Scikit-learn library, and how to validate, interpret and communicate the insights you uncover.
Frequently Asked Questions
1. Why should I enroll in this class?
Mastering data skills will have a very positive impact on your career, no matter the field or role you are in. In this course, you will learn very applicable, real-world data and programming skills that are a valuable asset in any industry and line of work. The demand for data science and analytics skills is very high in all types of organizations, and this course is perfect for anyone looking to learn essential data science and machine learning skills using Python.
2. How much does it cost, and what does the fee cover?
This 4-week long course costs $549. The fee covers:
- All materials and resources used in this course.
- Weekly classes taught live by the instructor via webinar.
- Constant support and direct feedback on your work and progress from our instructors.
- Access to a vibrant online community of mentors and peers.
- All taxes and fees.
3. Can my employer pay for this course on my behalf?
Definitely! Many of our students have been employer-sponsored. Check with your employer about tuition benefits.
4. Are there any prerequisites?
Nope. Beginners are welcome!
5. How is this course structured?
This course is 4 weeks long, and includes the following:
- 4 weekly 45-minute live webinar sessions with the instructor
- comprehensive collection of learning materials and resources
- constant support and feedback from our instructors and mentors
6. I’m interested! What happens after I register?
After you register for a course, you will get a confirmation email right away, followed by a second email later on containing all the details you need to hit the ground running on your first class, such as:
- how to join the live classes
- how to prepare for the first session
- invitation to the online class community
7. I really want to take this course, but I have a schedule conflict. What happens if I miss a session?
Our courses are designed to give you the most effective and flexible learning experience available. If you need to miss a live session, you can watch the session recording which will become available the following day, and work through the weekly assignment as per usual. If you get stuck or have questions, your instructor and mentors are always available and happy to help get you unstuck - just ask!
8. What kind of weekly time commitment should I expect?
In addition to the 45-minute weekly instructor-led session, on average, we find that students spend 4-5 hours per week studying, watching videos and working on practice problems and projects. However, this is an average, so some students may require more, or less, time to complete the coursework.
9. Can I take this course if I live outside of the US?
Absolutely! All students everywhere are welcome to enroll in this English-language course.