Data Analysis for Business and Finance

Learn Data Analysis: Descriptive & Inferential Statistics, Regression Analysis, Time Series and much more!

Created by: Saurav Singla
Head Data Science

What Will I Learn?

• Understand Statistics from basic to advance level
• Learn Descriptive and Inferential Statistics
• How to plot different types of data
• Exploratory data analysis: graphical and numerical approaches (Mean, Mode, Standard Deviation etc)
• Exploring data analysis: Univariate and Bivariate Analysis
• Calculate Covariance and Correlation
• Understand the Central Limit Theorem
• Understand standard deviations
• Probability: Essentials and Conditional Probability
• Distinguish and work with different types of Probability Distributions (advance level distributions covered extensively)
• Calculate the measures of Central Tendency, Asymmetry, and Variability
• Understand what a Sampling and Estimation is
• Statistical Inference: Perform Hypothesis testing and Estimate Confidence Interval (from basics to deep dive)
• Regression Analysis and estimating relationships among variables (including complex level of testing with F-statistics and T-tests)
• Time-Series: Simple/Linear/Moving Average/Exponential, Smoothing techniques, Seasonality, Decomposition methods
• Make data driven decisions using the above (covering examples)

Requirements

• No prior knowledge or experience is required. We start from the basics and gradually build up your knowledge and skills.

Target audience

• Financial/Business analysts
• People who want a career in Data Science
• People who want a career in Business Intelligence
• People who want a career in Data Analytics
• Business executives
• Individuals who are passionate about numbers and quant analysis
• Anyone who wants to learn the subtleties of Statistics and how it is used in the business world
• People who want to start learning statistics
• People who want to learn the fundamentals of statistics