Become a Data Scientist
Overview
This Journey includes:
- 30 hours of on-demand video
- 18 modules
- Core level
- Direct access/chat with the instructor
- 100% self-paced online
- Many downloadable resources
- Shareable certificate of completion
Skills You Will Gain
Learning Outcomes (At the end of this program you will be able to)
- Develop solutions to real-world machine learning problems
- Explain and discuss the essential concepts of machine learning and in particular deep learning
- Implement supervised and unsupervised learning models for tasks such as forecasting, predicting and outlier detection
- Perform independent analysis of data
- Understand use and navigate R Studio and R
- Implement various algorithms for their needs and improve/modify existing algorithms/techniques for data analysis
Who Should Attend
- Anyone who wants to learn about using Python to build, evaluate or deploy machine learning and Artificial Intelligent models.
- Scientists, engineers, business analysts, research who explore and analyze data and wish to present their findings in well-formatted textual and graphical forms.
Curriculum
This Pandas course prepares teaches the fundamentals of data analysis. It shows how to load data, inspect it, deal with missing values, use statistical summaries, plot, pivot and more. This course contains 18 hours of materials, taught by Matt Harris
1Welcome to the course!
About this course: Overview, Learning Outcomes, Who Should Enroll...
Instructor bio - Matt Harrison
2Module 1
Module 1- Getting Started – Installation, Jupyter, and Example
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3Module 2
Module 2- Series objects
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4Module 3
Module 3 - DataFrame objects
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Module 4 - Grouping
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6Module 5
Module 5 - Tips and Tricks
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7Labs
Overview
Instructions: Using Jupyter Notebooks
Instructions: Virtual labs (For Colaboratory)
Labs: Module 1
Labs: Module 2
Labs: Module 3
Labs: Module 4
Labs: Module 6
8Recommended Further Readings
Articles and Downloads
Instructors
Matt Harrison
Matt is a seasoned Python and Data Science expert with over a decade of experience, known for his passion for making complex programming and data analysis concepts accessible and engaging. A Stanford University graduate with a background in Computer Science, Matt has applied his skills across a wide range of domains—from building predictive models that classify job postings to developing scalable systems using AWS and Docker.
Matt’s expertise spans machine learning, natural language processing, web application development, and beyond. He has a proven track record of translating technical depth into impactful educational experiences. As an instructor, he has designed and delivered high-impact courses such as Python for Finance and Essentials of Stats with Python, enabling learners to grasp both the theoretical foundations and practical applications of programming and data science.
A strong advocate for critical thinking and problem-solving, Matt creates inclusive learning environments where students from all backgrounds can thrive. His dedication to education extends to the global stage, where he regularly speaks at conferences like PyCon and SciPy and contributes to leading platforms including O’Reilly Media and Pluralsight.
With a teaching philosophy grounded in authenticity and real-world relevance, Matt is committed to empowering the next generation of data scientists and programmers—bridging the gap between theory and application, and inspiring learners to unlock the full potential of Python and data science.
Frequently Asked Questions
How much do the courses at Starweaver cost?
We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.
Do you offer any certifications upon completion of a course at Starweaver?
Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.
Does Starweaver offer any free courses or trials?
No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.
Are Starweaver's courses designed for beginners or advanced students?
Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.
What payment options are available for Starweaver courses?
We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.
Do you offer refunds?
Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.