Learn how to apply Python to data science, machine learning, data visualization, and automation. In this program, you will learn the necessary programming skills to manipulate databases and perform various levels of analysis on the data. You'll finish the program prepared to apply for entry-level data science and Python engineering positions.
You'll begin by learning Python programming fundamentals and using NumPy, Pandas, and Matplotlib to analyze data. After learning Python and its three main data science libraries, you will create predictive models from the data using machine learning packages such as scikit-learn. You will also use Python to automate everyday tasks such as aggregating, updating, and formatting data.
In the final unit, you will use Matplotlib, Seaborn, Plotly, and Dash to create data visualizations and interactive dashboards that you can deploy to GitHub, where they will be easily accessible for potential employers to review.
This is the recommended order, but some courses may be taken in a different order.
Unit 1 30 Hours
Build a strong foundation in Python programming and data analysis through real-world projects that prepare you for advanced topics like machine learning and predictive modeling.
Unit 2 30 Hours
Gain hands-on experience building predictive models using Python in this practical machine learning course, designed to help you understand core algorithms and apply them to real-world data.
Unit 3 6 Hours
Learn how to automate web tasks and extract valuable online data using Python, with practical training in web scraping, data storage, and script scheduling.
Unit 4 24 Hours
Transform raw data into interactive visual insights by building dashboards with Python’s top visualization tools. This course blends analysis, design, and deployment to help you showcase data professionally.
Choose one free elective. Contact us after registration to select your dates.
Bonus 30 Hours
Learn how to build AI-powered web applications using Flask and the OpenAI API. This course covers web development fundamentals, API integration, and AI-driven features for interactive applications.
Bonus 30 Hours
Gain hands-on experience with advanced machine learning techniques as you build and deploy real-world projects across natural language processing, recommendation systems, forecasting, deep learning, and computer vision.
Build practical skills by working through guided projects designed to reinforce learning
Course resources are shaped through repeated instruction to support outcomes
Amazing experience. The professor really broke down the material and made sure I understood it. I would definitely recommend this class or school to anyone. Truly loved it!
— David G.
Classes are led by professionals who combine real-world expertise with proven teaching abilities
Return to the course at no cost to review concepts and strengthen your skills
Attend this certificate program live online or as self-paced training. Engage with expert instructors, ask questions, and get feedback on your exercises and projects.
Unlike other providers, these are not mass open-enrollment classes. At CreativeLive, you’ll learn in small groups (typically 8-15 students) and receive personalized attention.
Get the same interactivity and access to the instructor as in-person students. There are no extra fees and we’ll work with you to ensure your remote setup is perfect.
Learn at your own pace with pre-recorded video lessons and hands-on exercises. Work through the material on your schedule with access to course content and resources.
We want you to succeed in your career goals. In addition to 96 hours of hands-on, interactive training, you’ll also receive eight 1-on-1 mentoring sessions where you can:
Upon completion of this course, you’ll receive an official certificate testifying to your mastery of the curriculum. We’ll send you a link where you can download your certificate, share it online with your friends, post it to your professional network on LinkedIn, and view all your earned certificates. Congratulations on your achievement!
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We offer a single free retake of any module or the whole program within a year.
You can also access recordings of each session in your student portal within one business day of the session’s end. Recordings are available for one month after the session.
Learn practical skills by working on real projects with instructor guidance and lectures to strengthen and improve your skill.
