Python for Data Analysis
Become a data pro by mastering the most cutting-edge tool for data analysis.
Registration is now closed
Wednesdays, 06:30PM EST
Three 2-hour instructor-led webinars over three weeks, and 3 assignments.
Python for Data Analysis
Registration is now closed
What will I learn?
Translate everything you do in Excel (or in R, SAS, SPSS, etc) into Python.
Get hands-on programming and data analysis experience that you'll be able to use immediately.
Produce insightful data visualizations.
Conduct important data analysis tasks such as reading, summarizing, filtering, and sorting data.
Master the essentials of programming in Python.
Learn cutting edge skills in live online sessions with a Lead Data Scientist.
Session 1: Programming Basics
Learn how to get started writing and running Python programs on your computer using Jupyter notebooks and the command line.
Session 2: Data in Python and Basic Data Analysis
Get started with data wrangling and cleaning in Python. Learn the basics of data analysis using the Pandas and Numpy libraries.
Session 3: Data Visualization and Advanced Data Analysis
Learn how to aggregate, summarize and visualize data in Python using libraries such as Pandas and Matplotlib.
Shirin Mojarad, PhD
Dr. Shirin Mojarad is a Lead Data Scientist at McGraw-Hill Education, where she specializes in causal inference analysis on observational studies using machine learning. Prior to her current role, Shirin did data mining and advanced analytics at the Canadian Imperial Bank of Commerce (CIBC) and at the DataWatch Angoss Software Corporation, a leader in predictive analytics software.
Shirin is also the founder of three Boston based Meetup groups on Data Science and education, and she is a frequent guest speaker at national and international conferences where she delivers lectures and workshops on causal inference and machine learning. Shirin holds a PhD in Electrical Engineering and a MSc in Communications and Signal Processing from Newcastle University U.K., where she specialized in predictive modeling and artificial neural networks.
Your class is always live, always hands-on.
You learn from an elite team of industry experts who have taught at universities such as Harvard, and have trained teams at companies such as Qualcomm.
You start coding from day one, and get valuable feedback, which is the fastest, most effective way to hone your skills and master programming.
You get personalized, live feedback and guidance directly from your instructors.
Fellowship and community
You gain access to a vibrant and engaging community of fellow students and knowledgeable mentors in every class.
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?
Frequently Asked Questions
1. Is this a pre-recorded course?
It most definitely is NOT. All 3 sessions of this course are fully live and lead by Dr. Shirin Mojarad, PhD.
Each live session is taught online, by webinar, so you’ll be able to ask your instructor questions in real time, and get feedback on your work without ever leaving the comfort of your sofa.
2. What does the fee cover?
Your fee covers:
- Weekly classes taught live by the instructor via webinar.
- All materials and resources used in this course.
- 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. I want my whole team to take this course. Do you offer private training for companies?
We sure do. Check out our corporate training page for more information on the topics and formats we offer, or shoot us an email at [email protected]
5. Are there any prerequisites?
There are no prerequisites for this course - beginners are welcome!
6. I’m interested! What happens after I register?
After you register for this course, you get a confirmation email. You get a second email containing the details you need to hit the ground running on your first class, including:
- recommended preparation for the first session
- how to join the live classes
- invitation to the online class community
7. What happens if I miss a live session?
Our courses are designed to give you the most effective and flexible learning experience available. If you miss a live session, watch the session recording the following day, and work through the weekly assignment as usual.
8. What if I have a question between sessions?
If you get stuck or have questions, your instructor is always there to help get you unstuck - just ask!
9. What kind of weekly time commitment should I expect?
In addition to attending the 90-minute, weekly, instructor-led sessions, you should expect to spend around four hours per week studying and working on practice problems and projects.
10. 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.
11. I have another question.
We most likely have an answer for you. Ping us at [email protected] and we’ll go from there.