Analysis Courses and Certifications

Python and Statistics for Financial Analysis

678 ratings

Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

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

• Best of All Time

Analyze data by location in ArcGIS Online: run queries and vector overlay, find suitable sites and cost paths, map hot spots, and interpolate air quality risk.

• Independent
• 6 weeks, 2-3 hours a week
• Self-Paced
• Free Certificate

MathWorks

Exploratory Data Analysis with MATLAB

38 ratings

In this course, you will learn to think like a data scientist and ask questions of your data. By the end of this course, you will be able to load data into MATLAB, prepare it for analysis, visualize it, perform basic computations, and communicate your re…

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

• Best of All Time

Circuits and Electronics 1: Basic Circuit Analysis

52 ratings

Learn techniques that are foundational to the design of microchips used in smartphones, self-driving cars, computers, and the Internet.

• edX
• 5 weeks, 5-7 hours a week
• Self-Paced
• Free Online Course (Audit)

• Best of All Time

Mathematical Methods for Data Analysis

6 ratings at edX

Learn mathematical methods for data analysis including mathematical formulations and computational methods. Some well-known machine learning algorithms such as k-means are introduced in the examples.

• edX
• 8 weeks, 6-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Vector Calculus for Engineers

268 ratings

This course is about vector calculus, and covers material that all engineers should know.

• Coursera
• 5 weeks, 6 hours a week
• Self-Paced
• Paid Course

Database Systems - Cornell University Course (SQL, NoSQL, Large-Scale Data Analysis)

46 ratings

Learn about relational and non-relational database management systems in this course.

• freeCodeCamp
• 17 hours
• Self-Paced
• Free Video

Mastering Data Analysis in Excel

27 ratings

Build predictive models in Excel: score credit card applicants with binary classification and AUC, quantify uncertainty with entropy, and forecast with linear regression and confidence intervals.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

Michael Penn

A Periodically Perturbed Harmonic Series - Convergence Analysis

Explore the convergence of a periodically perturbed harmonic series through rigorous mathematical analysis and proof techniques.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Data Analysis with Python

32 ratings

Learn data analysis in Python: read data from CSVs, databases, and HTML, clean it, and process and visualize it with Numpy, Pandas, Matplotlib, and Seaborn.

• freeCodeCamp
• 300 hours
• Self-Paced
• Free Certificate

Analysis III: Basic Properties of Riemann Integration - Lecture 1

Explore fundamental properties of Riemann integration, including integral additivity, through rigorous proofs. Gain a solid foundation in mathematical analysis.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Michael Penn

Why Are These Numbers Close to Pi? - Mathematical Analysis and Exploration

Uncover the mathematical mystery behind numbers that surprisingly approximate pi through elegant mathematical analysis and pattern recognition.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Michael Penn

Understanding Sequence Convergence - A Mathematical Analysis

Explore mathematical sequence convergence through step-by-step problem-solving and clear explanations of limit concepts and analytical techniques.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Summary of Background Material - Analysis II

Enhance your knowledge of linear algebra and mathematical analysis with this concise summary of background material for Analysis II.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Managerial Accounting: Cost Behaviors, Systems, and Analysis

14 ratings

Learn to organize cost information for internal decisions: design costing systems, account for overhead, apply activity-based costing, and answer "what-if" questions with CVP analysis.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course