Data Science Courses and Certifications

SQL for Tech and Data Science Interviews

472 ratings at Udemy

Do you want to ace your SQL tech or data science interview? This Is the perfect resource for you!

• Udemy
• 2 hours 27 minutes
• Self-Paced
• Paid Course

Speed Up Data Analysis and Presentation Building

952 ratings at Coursera

Master AI-powered techniques to extract data insights, create visualizations, and build compelling presentations with speaker notes and practice tools for effective delivery.

• Coursera
• 1 hour 24 minutes
• Self-Paced
• Paid Course

Alex the Analyst

Data Analyst Bootcamp

15 ratings

Master SQL, Excel, Tableau, Power BI, and Python for data analysis. Gain practical skills through hands-on projects and build a professional portfolio to launch your career.

• YouTube
• 20 hours
• Self-Paced
• Free Video

Career Certificate

AI and Machine Learning Essentials with Python

50 ratings at Coursera

Gain essential skills in AI, machine learning, and Python programming. Learn statistics, solve real-world problems, and prepare for advanced study in these cutting-edge fields.

• Coursera
• 16 weeks, 8 hours/week
• Self-Paced
• Paid Course
• 3 courses

Numpy For Data Science - Real Time Coding Exercises

441 ratings at Udemy

Comprehensive guide to mastering Numpy for efficient numerical computations in Python. Covers arrays, functions, indexing, and real-time exercises to enhance data science skills.

• Udemy
• 2 hours 35 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Analytics in the Public Sector with R

121 ratings at Coursera

Equip yourself with R programming skills to analyze public sector data, informing policy decisions and administrative functions through data manipulation, visualization, and interpretation.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course

Sampling People, Networks and Records

110 ratings at Coursera

Explore rigorous sampling methods for research, including random, cluster, stratified, and multistage techniques. Learn to select representative samples and estimate uncertainty in data collection.

• Coursera
• 1 day 1 hour 40 minutes
• Self-Paced
• Paid Course

Data – What It Is, What We Can Do With It

184 ratings at Coursera

Explore data analysis fundamentals, including theory development, causal inference, descriptive statistics, and data visualization. Gain essential tools for interpreting and evaluating data-driven insights across various fields.

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

Go Beyond the Numbers: Translate Data into Insights

916 ratings at Coursera

Discover data storytelling techniques, perform exploratory data analysis, and create effective visualizations using Python and Tableau to translate raw data into actionable insights.

• Coursera
• 1 day 3 hours 30 minutes
• Self-Paced
• Paid Course

Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript

102 ratings at Coursera

Explore 3D modeling in Rhinoceros using Python/Rhinoscript. Learn design computing fundamentals, create geometric systems, and apply procedural logics to produce variable forms in still and animated outputs.

• Coursera
• 1 day 2 hours 40 minutes
• Self-Paced
• Paid Course

Inventory Management

246 ratings at Coursera

Learn data-driven inventory management techniques to optimize spending, increase profits, and meet customer service levels in uncertain environments.

• Coursera
• 5 hours 12 minutes
• Self-Paced
• Paid Course

Mathematical Statistics for Data Science

422 ratings at Udemy

Ex-Google data scientist's guide to mathematical statistics, covering method of moments, maximum likelihood, and more

• Udemy
• 4 hours 14 minutes
• Self-Paced
• Paid Course

Algebra: Elementary to Advanced - Polynomials and Roots

175 ratings at Coursera

Explore advanced algebraic concepts including exponentials, polynomials, and roots. Develop critical thinking and problem-solving skills applicable to real-world scenarios and future mathematical studies.

• Coursera
• 9 hours 4 minutes
• Self-Paced
• Paid Course

Research Methodologies

905 ratings at Coursera

Comprehensive exploration of qualitative and quantitative research methods, sampling techniques, data collection approaches, and analysis strategies for conducting effective academic and market research.

• Coursera
• 19 hours 56 minutes
• Self-Paced
• Paid Course

Generative AI: Governance, Policy, and Emerging Regulation

88 ratings at Coursera

Explore governance, policy, and regulation for responsible generative AI deployment. Gain insights on data management, transparency, risk assessment, and current regulatory landscapes.

• Coursera
• 2 hours 47 minutes
• Self-Paced
• Paid Course