Everyone wants to succeed in business, but this fast-moving digital world requires new skills. Are you ready to develop an in-depth understanding of how to leverage the data from your business? Whether you are a manager, a product engineer, a business analyst, a consultant, or a student, you will benefit from the skills to gain insights from your data through analytics.
As the top-ranked programming language, Python allows you to analyze very large data sets and create visualizations to move you and your organization forward. Whether you are a first-time programmer or someone with experience in other languages, the Python for Data Analytics certificate course will give you the foundation to move ahead with confidence.
Discover the Data Scientist’s Toolbox:
Explain the essential skillsets of a data scientist, data science tools, and industry applications
Quick Number Crunching:
Use built-in and custom functions to perform common tasks and analyses in Python
Conduct Analysis Using NumPy:
Conduct basic statistical analysis using the popular NumPy library
Manipulate Data Using Pandas:
Reshape, slice, pivot, and filter data using the Pandas library
Create Visualizations Using Matplotlib:
Create visualizations using the Matplotlib library
Discover the Variability:
Quantify the probability of a given outcome using probability theory
Test Your Conclusions:
Use hypothesis testing to determine the reliability of your conclusions
Use Data to Achieve Insights:
Write Python functions to analyse and visualize data, and derive simple insights
Software Engineer and Systems Architect
Physicist and Computer Engineer with a M.Sc. in Physics
Data Science Instructor at UC Berkeley Extension
Ph.D. in Cognitive Science from Columbia University
Emeritus follows a unique online model. This model has ensured that nearly 90 percent of our learners complete their course.
Orientation WeekThe first week is orientation week. During this week you will be introduced to the other participants in the class from across the world. You will also learn how to use the learning platform and other learning tools provided.
Weekly GoalsOn other weeks, you have learning goals set for the week. The goals would include watching the video lectures and completing the assignments. All assignments have weekly deadlines.
Recorded Video LecturesThe recorded video lectures are by faculty from the collaborating university.
Live WebinarsEvery few weeks, there are live webinars conducted by Emeritus course leaders. Course leaders are highly-experienced industry practitioners who contextualize the video lectures and assist with questions you may have regarding your assignments. Live webinars are usually conducted between 1 pm and 3 pm UTC on Tuesdays and Wednesdays.
Clarifying DoubtsIn addition to the live webinars, for some courses, the course leaders conduct Office Hours, which are webinar sessions that are open to all learners. During Office Hours, learners ask questions and course leaders respond. These are usually conducted every alternate week to help participants clarify their doubts pertaining to the content.
Follow-UpThe Emeritus Program Support team members will follow up and assist over email and via phone calls with learners who are unable to submit their assignments on time.
Continued Course AccessYou will continue to have access to the course videos and learning material for up to 12 months from the course start date.
Emeritus Program Support TeamIf at any point in the course you need tech, content or academic support, you can email program support and you will typically receive a response within 24 working hours or less.
Device SupportYou can access Emeritus courses on tablets, phones and laptops. You will require a high-speed internet connection.
Emeritus NetworkOn completing the course you join a global community of 5000+ learners on the Emeritus Network. The Network allows you to connect with Emeritus past participants across the world.