Data Analytics - Introduction to Machine Learning
Data Analytics - Introduction to Machine Learning is a video-based online course by Alison US CA that teaches core machine learning and data analytics concepts including linear regression, reinforcement learning, and Excel-based multiple regression. Price varies. Ideal for beginners seeking foundational skills in data science for career advancement.
● In stock
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Key features
- Video-based self-paced lessons
- Covers linear and multiple regression
- Teaches reinforcement learning basics
- Excel-based formula walkthroughs
- Explains R² and adjusted R² differences
- Includes regularisation techniques
- No prior coding required
Pros
- +Beginner-friendly with clear explanations
- +Practical Excel integration for real use
- +Flexible learning with replayable videos
- +Covers essential ML and stats concepts
- +Affordable with variable pricing
Cons
- −No Generative AI or ChatGPT content
- −Limited coding or Python instruction
- −Basic math assumed but not taught
- −No certification mentioned
About Data Analytics - Introduction to Machine Learning
What is Data Analytics - Introduction to Machine Learning?
Data Analytics - Introduction to Machine Learning is an online course offered by Alison US CA designed to equip learners with foundational knowledge in machine learning and data analytics. This program blends theoretical concepts with practical applications, focusing on techniques like linear regression, reinforcement learning, and model evaluation metrics. It's tailored for individuals looking to enter or grow within data-driven fields.
Key features
- Video-Based Learning — Learn at your own pace with replayable video lessons.
- Linear Regression Training — Master prediction modeling using Excel and real-world datasets.
- Reinforcement Learning Basics — Understand how models make sequential decisions.
- Multiple Regression Formulas — Step-by-step Excel guidance for advanced analysis.
- Regularisation & Subset Selection — Learn techniques to improve model accuracy.
- R² vs Adjusted R² — Differentiate key statistical measures in regression models.
- Self-Paced Access — Review lessons anytime to reinforce understanding.
Who is Data Analytics - Introduction to Machine Learning for?
This course is ideal for aspiring data analysts, career changers, students, and professionals in business, tech, or research roles who want to build core analytical skills. It suits beginners with basic math and Excel knowledge but no prior coding or AI experience. It’s especially valuable for those targeting roles in data analytics departments across industries.
How does Data Analytics - Introduction to Machine Learning compare?
Unlike advanced machine learning bootcamps or university degrees, this course offers an accessible entry point without requiring programming skills. Compared to general data literacy courses, it dives deeper into statistical modeling and Excel-based regression. While it doesn’t cover Generative AI tools like ChatGPT, it focuses on foundational, timeless techniques essential for data science careers.
Best use cases
- →Learning regression for data analysis
- →Career switch into data analytics
- →Improving Excel modeling skills
- →Academic supplement for stats
- →Self-study in machine learning
Is Data Analytics - Introduction to Machine Learning right for you?
This course is best for beginners seeking foundational skills in data analytics and machine learning without needing to code. Ideal for students, career changers, or professionals in business or research. Requires basic math and Excel familiarity. Consider alternatives if you need Python-based ML, advanced AI training, or formal certification. Compare with university micro-courses or coding bootcamps for deeper tech roles.
How it compares: Compared to university courses or coding bootcamps, this offers a lighter, Excel-focused intro without programming. It's more practical than general data literacy courses but less technical than full data science programs. Best for learners wanting core statistical modeling skills before advancing.
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Frequently Asked Questions
What topics are covered in the Data Analytics - Introduction to Machine Learning course?
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The course covers linear regression, multiple regression in Excel, reinforcement learning, regularisation, subset selection, and the difference between R² and adjusted R². It focuses on foundational machine learning and data analysis techniques for beginners.
Does this course require coding or programming experience?
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No, the course does not require coding experience. It uses Excel for regression analysis and is designed for beginners with basic math and spreadsheet skills. Programming languages like Python are not included.
How is the course delivered and can I learn at my own pace?
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The course is video-based, allowing you to pause, replay, and revisit lessons. It's self-paced, so you can complete it on your schedule without deadlines or live sessions.
Is this course suitable for someone looking to start a career in data science?
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Yes, it's a strong starting point for beginners. It teaches core analytical concepts used in data science, especially regression and model evaluation, which are essential for entry-level data analyst roles.
Can I access the course materials after completion?
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Yes, as a self-paced video course on Alison US CA, you can typically revisit lessons anytime. Check the platform for specific access duration and download options after enrollment.
Is Data Analytics - Introduction to Machine Learning in stock at Alison?
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Yes, Data Analytics - Introduction to Machine Learning is currently in stock at Alison.
Specifications
- Category
- Software
- SKU
- 1631