Python for Data Analysis (3 Sessions)

Welcome to the Ivy League!Edliteraisa technology companyon a mission to help people future-proof themselves by learning the most in-demand and up-to-date skills in programming and data science. We have been training teams at top Silicon Valley and Wall Street companies since 2016, and webring Ivy League standards and quality to professional education.

Edlitera

Python is a powerful programming language that is a very popular tool in Data Science and analytics workflows. While MS Excel has long held the crown as the most popular analytics tool in all departments and at all levels of business, Python is quickly bubbling to the top as a much better alternative for big data sets, that can do everything Excel can, and more.
If you have been working with Excel and are ready to try Python for your analysis work, then this is the course for you! Whether you have experience programming, or are looking to get started for the first time, this course will put you on the fast track to honing your skills. 
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<H2 CLASS="p1">Takeaways</H2>
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Learn up-to-date skills in live online sessions with a Harvard instructor.
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Get your Certificate of Completion of Python for Data Analysis, and showcase it on your LinkedIn profile.
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Translate everything you do in Excel  into Python.
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Get hands-on experience writing Python code.
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Produce insightful data visualizations.
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Conduct important data analysis tasks such as reading, summarizing, filtering, and sorting data.
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By the end of the workshop you will have covered: 
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the essentials of programming in Python; 
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the tools of the trade; 
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hands-on programming experience that you'll be able to immediately apply to data analytics.
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This course is designed as a stand-alone introduction to the data analysis aspects of Python.
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<H2 CLASS="p1">What our students say</H2>
"This was a fantastic workshop. Claudia is a great teacher and super knowledgeable. She really helped us feel heard, and explained complicated concepts in an accessible way."
"The instructions were clear, and the class was well-paced. Thank you!"
"Great class! Claudia is knowledgeable and engaging."
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<H2 CLASS="MsoNormal">How our sessions work</H2>
We host these live online classes out of our office in Cambridge, MA. Guests tune in online to watch the live presentations. During the presentation, we set up a question and answer platform where participants can submit questions and have them answered. You'll be sent the webinar access information the week before the start of the course.
This online-only bootcamp has three sessions, from 6:30pm - 8.00pm EST on August 17, 24 and 31.
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<H2>Curriculum</H2>
<H3>Session 1: Thursday, August 17, 6:30pm - 8pm EST</H3>
- Python basics
- The Jupyter environment
- Simple data types
- Lists
<H3>Session 2: Thursday, August 24, 6:30pm - 8pm EST</H3>
- Functions
- Importable modules
- Pandas basics: dataframes, series, slicing, filtering
<H3>Session 3: Thursday, August 31, 6:30pm - 8pm EST</H3>
- Advanced Pandas
- Aggregation and summarization
- Visualization
- Data cleaning
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<H2>Prerequisites</H2>
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Some comfort with computers is needed.
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Some familiarity with Excel is useful.
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Please install the <A HREF="https://www.continuum.io/downloads" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Anaconda distribution</A> on your laptop before class.
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<H2>About the instructor</H2>
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<A HREF="http://www.claudiavirlanuta.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Claudia Virlanuta</A>
Claudia is a Data Scientist and Co-Founder at <A HREF="https://edlitera.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Edlitera</A>, an education company dedicated to enabling people to future-proof themselves and close the technical skills gap. In addition to her role at Edlitera, Claudia also holds an Adjunct Faculty position at Harvard University.
Prior to starting Edlitera, Claudia earned her degree in Economics from Yale, and worked in biotech, marketing technology, and most recently 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.
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<H2 CLASS="p1">Refund policy</H2>
Unfortunately, there are no refunds available for this course.

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Python for Data Analysis (3 Sessions)

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Python for Data Analysis (3 Sessions)

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