Data Science Courses and Certifications

Market Analysis

Discover how to develop compelling business cases through market segmentation, product definition, value proposition analysis, and customer acquisition strategies.

• Coursera
• 11 hours 57 minutes
• Self-Paced
• Paid Course

Machine Learning for Absolute Beginners - Level 2

2941 ratings at Udemy

Learn the Python Fundamentals and Pandas Library for Data Science Projects

• Udemy
• 4 hours
• Self-Paced
• Paid Course

Essential Business Analytics: From Data to Insights

2953 ratings at Udemy

Learn the essentials of Business Analytics: Learn Data Visualization, Pre-processing, and More for success

• Udemy
• 1 hour 2 minutes
• Self-Paced
• Paid Course

Generalized Linear Models and Nonparametric Regression

24 ratings at Coursera

Explore advanced statistical modeling tools including GLMs, nonparametric regression, and GAMs. Learn to apply these techniques for classification, data analysis, and ethical decision-making in data science.

• Coursera
• 1 day 18 hours 4 minutes
• Self-Paced
• Paid Course

From Data to Decisions: Making Predictions with AI

18 ratings at Coursera

Master predictive analytics using AI tools to run regression models, interpret statistical outputs, and transform raw data into actionable business insights and accurate forecasts.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

ANOVA and Experimental Design

21 ratings at Coursera

Explore ANOVA, ANCOVA, and experimental design for data science applications. Learn key concepts like randomization, blocking, and factorial design to conduct meaningful experiments and analyze results.

• Coursera
• 1 day 15 hours 57 minutes
• Self-Paced
• Paid Course

Career Certificate

Mathematics for Machine Learning and Data Science

3187 ratings at Coursera

Foundational program applying essential math concepts for machine learning through Python programming, featuring intuitive visualizations and hands-on exercises for quick and practical learning.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Zero to Hero in Power BI: Data Visualization using Power BI

2630 ratings at Udemy

Make data models, prepare data using Power Query, create charts & reports and do advanced analysis using DAX in Power BI

• Udemy
• 7 hours 26 minutes
• Self-Paced
• Paid Course

Regression Analysis

10 ratings at Coursera

Master regression analysis techniques to model relationships, prevent overfitting, and make data-driven decisions. Explore linear and polynomial regression, regularization, cross-validation, and ensemble methods through hands-on practice.

• Coursera
• 1 day 16 hours 1 minute
• Self-Paced
• Paid Course

Data Visualization and D3.js

5 ratings

Learn the fundamentals of data visualization and apply design and narrative concepts to create your own visualization.

• Udacity
• 46 hours
• Self-Paced
• Free Online Course

Data Visualization in Excel: All Excel Charts and Graphs

2434 ratings at Udemy

25+ Excel charts and graphs - Data Visualization in Microsoft Excel - visualizing data with Excel 2007- Excel 2019

• Udemy
• 4 hours 34 minutes
• Self-Paced
• Paid Course

Visualizing Data with Python

115 ratings at edX

Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.

• edX
• 5 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

The "What" of the Marketing Strategy

12 ratings at Coursera

Explore marketing essentials: understand markets, create value, engage customers, and implement strategies with measurable results for profit and brand equity across digital and physical platforms.

• Coursera
• 3 hours 14 minutes
• Self-Paced
• Paid Course

Digital Marketing Analytics

Master data-driven marketing decisions through analytics tools, A/B testing, and recommendation systems to optimize digital campaigns and leverage customer insights for actionable business strategies.

• Coursera
• 3 hours 51 minutes
• Self-Paced
• Paid Course

Modeling Climate Anomalies with Statistical Analysis

Learn to model climate data using statistical analysis in Python, covering data visualization, predictive modeling, and regression techniques with emphasis on practical application to climate datasets.

• Coursera
• 7 hours 21 minutes
• Self-Paced
• Paid Course