Statistics for Financial Analysts

Statistics for Financial Analysts, available at Free, has an average rating of 4.83, with 35 lectures, 2 quizzes, based on 3 reviews, and has 552 subscribers.

You will learn about Statistics Probability Sampling Hypothesis Testing This course is ideal for individuals who are Finance enthusiasts interested in learning Statistics It is particularly useful for Finance enthusiasts interested in learning Statistics.

Enroll now: Statistics for Financial Analysts

Summary

Title: Statistics for Financial Analysts

Price: Free

Average Rating: 4.83

Number of Lectures: 35

Number of Quizzes: 2

Number of Published Lectures: 35

Number of Published Quizzes: 1

Number of Curriculum Items: 37

Number of Published Curriculum Objects: 36

Number of Practice Tests: 1

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Statistics
Probability
Sampling
Hypothesis Testing

Who Should Attend

Finance enthusiasts interested in learning Statistics

Target Audiences

Finance enthusiasts interested in learning Statistics

This course provides a comprehensive introduction to the fundamental concepts and techniques of statistics tailored specifically for financial analysts. Designed to meet the needs of professionals in finance, it aims to build a strong foundation in statistical methods and data analysis relevant to financial decision-making. The course covers essential topics such as measures of central tendency, measures of deviation, probability theory, normal distribution, sampling techniques, and hypothesis testing. By the end of this course, students will have the skills to analyze and interpret financial data, make informed investment decisions based on statistical reasoning, and apply statistical techniques to various financial scenarios, enhancing their analytical and decision-making abilities.

Key Topics:

Measures of Central Tendency
Measures of Deviation
Probability
Normal Distribution
Sampling Techniques
Hypothesis Testing

Learning Outcomes:

By the end of this course, students will be able to:

Understand and apply measures of central tendency and deviation.
Calculate and interpret probabilities.
Analyse data using the normal distribution and sampling methods.
Conduct hypothesis tests and make data-driven decisions.
Communicate statistical findings effectively.

Assessment Methods:

Final Quiz to test yourself.

This course is ideal for students seeking to gain a solid grounding in statistics, whether for academic advancement, research, or professional development in the field of finance.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Basics of Statistics

Lecture 1: What is Statistics?

Lecture 2: Types of Data

Lecture 3: Levels of Measurement

Lecture 4: Frequency Distribution

Lecture 5: Measures of Central Tendency

Lecture 6: Mean: Arithmetic Mean

Lecture 7: Mean: Geometric Mean

Lecture 8: Mean: Weighted Average Mean

Lecture 9: Median & Other Quantiles

Lecture 10: Mode

Lecture 11: Measures of Dispersion

Lecture 12: Variance & Standard Deviation

Chapter 3: Probability

Lecture 1: Basic Terminologies of Probability

Lecture 2: Common Properties of Probability

Lecture 3: Types of Events

Lecture 4: Joint & Total Probability

Chapter 4: Probability Distribution

Lecture 1: What is Probability Distribution?

Lecture 2: Types of Probability Distribution

Lecture 3: Cumulative Probability

Lecture 4: Normal Distribution

Lecture 5: Cumulative Probability in Normal Distribution

Chapter 5: Sampling

Lecture 1: What is Sampling?

Lecture 2: Reasons for Sampling

Lecture 3: Methods of Sampling

Lecture 4: Degree of Freedom (df)

Lecture 5: Sampling Distribution

Lecture 6: What is a Confidence Interval?

Lecture 7: Constructing a Confidence Interval

Chapter 6: Hypothesis Testing

Lecture 1: What is Hypothesis Testing?

Lecture 2: Steps in Hypothesis Testing

Lecture 3: Performing two-tailed hypothesis test for Means

Lecture 4: Performing one-tailed hypothesis test for Means

Lecture 5: Performing Hypothesis test for Proportions

Chapter 7: Course Summary

Lecture 1: Course Summary

Instructors

Chetan Sharma
CFI: FMVA | NISM XV: Research Analyst

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5 stars: 2 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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