Analysis Courses and Certifications

Statistics for Data Analysis Using R

2644 ratings at Udemy

Learn Programming in R & R Studio • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science

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

Introduction to Data, Signal, and Image Analysis with MATLAB

Learn MATLAB for data, signal, and image analysis. Master machine learning, data visualization, image processing, and signal analysis techniques for practical applications in various fields.

• Coursera
• 23 hours
• Self-Paced
• Paid Course

Career Certificate

ChatGPT + Excel: AI-Enhanced Data Analysis & Insight

Master AI-enhanced data analysis by combining ChatGPT with Excel to create compelling visualizations, automate tasks, transform raw data, and craft impactful data-driven narratives.

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

Introduction to Statistics & Data Analysis in Public Health

1 rating

Learn essential statistical analysis for public health using R. Covers variables, distributions, hypothesis testing, and data interpretation. Gain practical skills to analyze real-world datasets and critically evaluate research findings.

• Coursera
• 15 hours 52 minutes
• Self-Paced
• Paid Course

Chat with Your Data: Generative AI-Powered SQL Data Analysis

Discover how to transform database interactions using ChatGPT for SQL analysis, from natural language queries to visualizations, using frameworks like CLUE, TRUST, and DEBUG to extract meaningful insights without coding expertise.

• Coursera
• 4 hours 25 minutes
• Self-Paced
• Paid Course

Product Cost and Investment Cash Flow Analysis

Explore product costing, time value of money, and personal finance principles using spreadsheets. Gain practical skills for engineering and science careers in industry.

• Coursera
• 20 hours 37 minutes
• Self-Paced
• Paid Course

Statistics and Data Analysis with Excel, Part 1

Learn foundational statistics concepts and apply them using Excel. Covers descriptive statistics, probability, and probability distributions. Ideal for beginners in data science and analytics.

• Coursera
• 16 hours 31 minutes
• Self-Paced
• Paid Course

Modern Regression Analysis in R

Foundational statistical modeling tools for data science, covering linear models, parameter estimation, diagnostics, and ethical implications. Practical skills in R for regression analysis and model selection.

• Coursera
• 1 day 21 hours 27 minutes
• Self-Paced
• Paid Course

Integral Calculus and Numerical Analysis for Data Science

Intuitive approach to integral calculus and numerical analysis, covering integration, root-finding, matrix decomposition, and partial derivatives for data science applications.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

Real-Time Embedded Systems Theory and Analysis

In-depth exploration of real-time embedded systems scheduling theories, including rate monotonic and dynamic priority policies, with practical implementation on Linux using POSIX extensions and Raspberry Pi.

• Coursera
• 2 days 14 hours 11 minutes
• Self-Paced
• Paid Course

Techniques of Design-Oriented Analysis

Learn design-oriented analysis techniques for power electronics, focusing on Extra Element Theorem and N-Extra Element Theorem. Gain practical insights for converter design and high-performance closed-loop control.

• Coursera
• 12 hours 49 minutes
• Self-Paced
• Paid Course

Clustering Analysis

Explore unsupervised learning techniques, including clustering methods and dimension reduction, to uncover patterns and insights in diverse datasets through hands-on tutorials and case studies.

• Coursera
• 1 day 13 hours 2 minutes
• Self-Paced
• Paid Course

Career Certificate

Statistics and Applied Data Analysis

Master statistical concepts from basics through advanced analysis, using Excel and R for data visualization, hypothesis testing, and predictive modeling across three progressive levels.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Classification Analysis

Explore key classification algorithms, their applications, and evaluation methods. Gain hands-on experience through tutorials and case studies to solve real-world data analysis problems.

• Coursera
• 1 day 14 hours 14 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Analysis with Python

Comprehensive overview of data analysis techniques using Python, covering classification, regression, clustering, and more. Includes hands-on examples and a final project.

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