We may earn an affiliate commission when you visit our partners.
Vijay Gadhave
Starting a career in Data Science or Business Analysis ?
then this course will help you to Built a Strong Foundation of statistics for Data Science and Business Analytics
Read more
Starting a career in Data Science or Business Analysis ?
then this course will help you to Built a Strong Foundation of statistics for Data Science and Business Analytics
Read more
Starting a career in Data Science or Business Analysis ?
then this course will help you to Built a Strong Foundation of statistics for Data Science and Business Analytics
This course is Very Practical, Easy to Understand and Every Concept is Explained with an Example .
I have added real life examples to understand the applications of statistics in the field of Data Science...
We'll cover everything that you need to know about statistics and probability for Data Science and Business Analytics .
Including:
1) Levels of Measurement
2) Measures of Central Tendency
3) Population and Sample
4) Population Standard Variance
5) Quartiles and IQR
6) Permutations,Combinations
7) Intersection, Union and Complement
8) Independent and Dependent Events
9) Conditional Probability
10) Bayes’ Theorem
11) Uniform Distribution, Binomial Distribution
12) Poisson Distribution, Normal Distribution, Skewness
13) Standardization and Z Score
14) Central Limit Theorem
15) Hypothesis Testing, Type I and Type II Error
16) Students T-Distribution
17) ANOVA - Analysis of Variance
18) F Distribution
19) Linear Regression and much more...
So What Are You Waiting For ?
Enroll Now and Empower Your Career .
Register for this course and see more details by visiting:
OpenCourser.com/course/2keq91/statistics
12 deals to help you save
We found 12 deals and offers that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Use code at checkout.
Ended October 29
24-Hour Flash Sale
Save on all online courses in your cart and take advantage of big savings.
FLASH SALE
24T6MT102824
Use code at checkout.
Ended October 19
24-Hour Flash Sale
Save on all online courses in your cart and take advantage of big savings.
FLASH SALE
ST15MT100124A
Ended October 8
24-Hour Flash Sale
Take advantage of big savings on online courses.
Up to
80%
off
Ended September 28
24-Hour Flash Sale! Save up to 85% on Udemy online courses.
For 24 hours, save big on courses from Udemy's extensive catalog.
Up to
85%
off
Ended September 25
Save on courses
Gain the skills you need to reach your next career milestone.
Up to
85%
off
Use code at checkout.
Only 34 hours left!
24-Hour Sale
Save with steep discounts on most courses including bestsellers from popular instructors.
Flash Sale!
ST7MT110524
Use code at checkout.
Ended October 12
Explore new possibilities
Start exploring new possibilities for your future with courses on sale.
Up to
85%
off
ST14MT101024
Use code at checkout.
Valid until November 13
Get skills that impress
Learn from courses across popular topics and take big discounts during this 48-hour sale.
Up to
80%
off
ST20MT111124A
Ended October 1
Personal Plan sale
Gain unlimited access to thousands of courses. For a limited time, save when you start an annual subscription.
From
40%
off
Use code at checkout.
Valid until December 1
For new customers
Save when you purchase top courses. For new customers only.
Special Offer
UDEAFNULP2024
Ended November 1
New customer offer
New customers, complete your first order and save big.
Up to
80%
off
Valid for a limited time only
Future-proof your career
Access O'Reilly books, live events, courses, and more. Save with an annual subscription.
Take
15%
off
What's inside
Learning objectives
- Understand the fundamentals of statistics
- Understand the probability for data analysis
- Learn how to work with different types of data
- Different types of distributions
- Apply statistical methods and hypothesis testing to business problems
- Understand all the concepts of statistics for data science and analytics
- Working of regression analysis
- Implement one way and two way anova
- Chi-square analysis
- Central limit theorem
- Understand the fundamentals of statistics
- Understand the probability for data analysis
- Learn how to work with different types of data
- Different types of distributions
- Apply statistical methods and hypothesis testing to business problems
- Understand all the concepts of statistics for data science and analytics
- Working of regression analysis
- Implement one way and two way anova
- Chi-square analysis
- Central limit theorem
Syllabus
Welcome to the Course !
Introduction
Updates on Udemy Reviews
Course FAQ's
Read more
Syllabus
Welcome to the Course !
Introduction
Updates on Udemy Reviews
Course FAQ's
Read more
Statistics Basic
Data
Levels of Measurement
Measures of Central Tendency
Population and Sample
Measures of Dispersion
Quartiles and IQR
Probability
Introduction to Probability
Permutations
Combinations
Intersection, Union and Complement
Independent and Dependent Events
Conditional Probability
Addition and Multiplication Rules
Bayes’ Theorem
Distributions
Introduction to Distribution
Uniform Distribution
Binomial Distribution
Poisson Distribution
Normal Distribution
Skewness
Standardization and Z Score
Central Limit Theorem
Hypothesis Testing
Hypothesis Testing and Hypothesis Formulation
Null and Alternative Hypothesis
Important Concepts in Hypothesis Testing
Exercise 1
Exercise 2
Type I and Type II Error
Students T-Distribution
Exercises on Students T-Distribution
ANOVA - Analysis of Variance
F Distribution
One-Way ANOVA
Two-Way ANOVA
Two-Way ANOVA Exercise
Two-Way ANOVA with Replication
Regression Analysis
Linear Regression
Exercise on Linear Regression
Multiple Regression
Chi-Square Analysis
Chi-Square Test
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops statistics and probability skills for roles in data science and business analysis
Suitable for beginners looking to establish a solid foundation in statistical concepts
Provides practical examples to illustrate statistical concepts
Utilizes engaging teaching methods to simplify complex topics
Course objective is aligned with the industry standard
Instructor has extensive experience in statistics and data science
Save this course
Save Statistics Masterclass for Data Science and Data Analytics to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Statistics Masterclass for Data Science and Data Analytics with these
activities:
Brush Up on Math Skills
Show steps
Refreshes foundational math skills necessary for statistics
Browse courses on
Mathematics
Show steps
-
Review basic algebra concepts
-
Practice solving equations and inequalities
Read Introduction to Probability
Show steps
Provides foundational knowledge in probability, the core topic of the course
View
Introduction to Probability, Second Edition
on Amazon
Show steps
-
Read chapters 1-3
-
Complete practice problems at the end of each chapter
Follow Tutorials on ANOVA
Show steps
Provides additional support and guidance in understanding the complex topic of ANOVA
Browse courses on
ANOVA
Show steps
-
Watch video tutorials on ANOVA
-
Follow along with practice exercises
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Probability Problems
Show steps
Reinforces probability concepts through repetition of exercises
Browse courses on
Probability
Show steps
-
Solve practice problems from the textbook or online resources
Summarize Statistical Concepts
Show steps
Deepens understanding by requiring active recall and explanation
Browse courses on
Statistics
Show steps
-
Identify key statistical concepts
-
Write a summary that explains these concepts in your own words
Analyze Real-World Data
Show steps
Provides practical experience in applying statistical methods to solve real-world problems
Browse courses on
Data Analysis
Show steps
-
Choose a dataset related to your interests
-
Explore the data and identify potential research questions
-
Conduct statistical tests to test your hypotheses
-
Write a report summarizing your findings
Contribute to Open-Source Statistical Projects
Show steps
Provides exposure to real-world statistical applications and fosters collaboration
Browse courses on
Open Source
Show steps
-
Identify open-source statistical projects that align with your interests
-
Join the project's community and contribute to discussions
-
Fix bugs or implement new features
Build a Statistical Model
Show steps
Challenges students to apply their knowledge and skills to a real-world problem
Browse courses on
Linear Regression
Show steps
-
Identify a business problem that can be solved using statistical modeling
-
Collect and clean the necessary data
-
Build and train a statistical model
-
Evaluate the performance of the model
-
Deploy the model to solve the business problem
Brush Up on Math Skills
Show steps
Refreshes foundational math skills necessary for statistics
Browse courses on
Mathematics
Show steps
Show steps
Show steps
- Review basic algebra concepts
- Practice solving equations and inequalities
Read Introduction to Probability
Show steps
Provides foundational knowledge in probability, the core topic of the course
View
Introduction to Probability, Second Edition
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3
- Complete practice problems at the end of each chapter
Follow Tutorials on ANOVA
Show steps
Provides additional support and guidance in understanding the complex topic of ANOVA
Browse courses on
ANOVA
Show steps
Show steps
Show steps
- Watch video tutorials on ANOVA
- Follow along with practice exercises
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Probability Problems
Show steps
Reinforces probability concepts through repetition of exercises
Browse courses on
Probability
Show steps
Show steps
Show steps
- Solve practice problems from the textbook or online resources
Summarize Statistical Concepts
Show steps
Deepens understanding by requiring active recall and explanation
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Identify key statistical concepts
- Write a summary that explains these concepts in your own words
Analyze Real-World Data
Show steps
Provides practical experience in applying statistical methods to solve real-world problems
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Choose a dataset related to your interests
- Explore the data and identify potential research questions
- Conduct statistical tests to test your hypotheses
- Write a report summarizing your findings
Contribute to Open-Source Statistical Projects
Show steps
Provides exposure to real-world statistical applications and fosters collaboration
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify open-source statistical projects that align with your interests
- Join the project's community and contribute to discussions
- Fix bugs or implement new features
Build a Statistical Model
Show steps
Challenges students to apply their knowledge and skills to a real-world problem
Browse courses on
Linear Regression
Show steps
Show steps
Show steps
- Identify a business problem that can be solved using statistical modeling
- Collect and clean the necessary data
- Build and train a statistical model
- Evaluate the performance of the model
- Deploy the model to solve the business problem
Career center
Learners who complete Statistics Masterclass for Data Science and Data Analytics will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist is a role that combines machine learning, statistics, and data analysis. The course provides a solid introduction to statistics, probability, and data analysis, as well as teaching students how to use real-world data to solve problems. This combination of skills is essential for a Data Scientist.
Data Analyst
Data Analyst
Many Data Analysts use statistics to find trends and patterns in data. This course can help build a strong foundation of statistics and probability for Data Analytics. Additionally, the course describes how to work with different types of data and discusses important statistical methods such as Hypothesis Testing. These topics are all very relevant to the work of a Data Analyst.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use statistical models to build predictive models and make predictions on new data. This course provides a solid foundation in statistics and probability, which is essential for this role. The course also covers machine learning algorithms, which are used to train models to make predictions.
Business Analyst
Business Analyst
A Business Analyst will need to make recommendations to business leaders to improve the organization's efficiency or profitability. The course teaches hypothesis testing which is a useful skill for evaluating new policies or products for a business. Additionally, the course teaches methods like regression analysis and ANOVA which are common tools for a Business Analyst to use.
Quantitative Analyst
Quantitative Analyst
Working as a Quantitative Analyst requires understanding probability as well as many statistical methods. The course covers distributions like the normal distribution and binomial distribution as well as diving into important statistical methods like hypothesis testing. These topics are all relevant to the work of a Quantitative Analyst. This course may be helpful to a Quantitative Analyst by strengthening their understanding of the theory behind statistical methods and by demonstrating the real life applications of statistics.
Data Engineer
Data Engineer
A Data Engineer is responsible for managing and processing large datasets. This course provides a foundation in statistics and probability, as well as teaches students how to use data engineering tools. This combination of skills is essential for a Data Engineer.
Biostatistician
Biostatistician
A Biostatistician will need to understand the fundamentals of statistics as well as how to apply statistical methods to the field of medicine. This course covers the fundamentals of statistics and probability as well as discussing how to test hypotheses. These topics are all very relevant to the field of Biostatistics.
Financial Analyst
Financial Analyst
Financial Analysts use statistical methods to evaluate the performance of companies and their investments. This course provides a foundation in statistics and probability, as well as teaches students how to use financial data to make predictions. This combination of skills is essential for a Financial Analyst.
Risk Analyst
Risk Analyst
Understanding probability is imperative to being a Risk Analyst. This course covers many important probability topics as well as important statistical tests. A risk analyst will use these tests to assess the likelihood of adverse events happening as well as their severity. This course may be helpful to a Risk Analyst by strengthening their understanding of probability and statistical analysis.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use statistical and mathematical techniques to improve the efficiency of organizations. This course provides a foundation in statistics and probability, which is essential for this role. The course also covers optimization techniques, which are used to find the best solution to a problem.
Insurance Analyst
Insurance Analyst
Insurance Analysts evaluate risk and exposure to determine the amount of insurance coverage necessary for an individual or group. The course covers important probability topics as well as probability distributions. An Insurance Analyst will use these concepts when determining the premiums for insurance policies.
Actuary
Actuary
Actuaries use mathematics, statistics, and financial theory to assess risk and uncertainty. Understanding probability is essential to this role. This course covers many important probability topics that are relevant to the work of an Actuary. Additionally, the course discusses statistical methods like regression analysis which is also relevant to the field.
Market Research Analyst
Market Research Analyst
Market Research Analysts collect, analyze, and interpret data about customers, markets, and products. This course teaches students how to collect and analyze data, as well as how to interpret the results. Hypothesis testing is also covered, and this is useful for testing the effectiveness of new marketing campaigns.
Software Developer
Software Developer
Software Developers use statistical methods to improve the performance and reliability of their software. This course provides a foundation in statistics and probability, which is essential for this role. The course also covers topics like testing and optimization, which are used to ensure that software meets performance requirements.
Statistician
Statistician
A Statistician will need to understand the fundamentals of statistics including probability. One important job of a statistician is to design experiments. Many of the fundamentals of probability and statistical analysis are useful in setting up an experiment that will provide statistically valid results. This course may be helpful to a Statistician by strengthening their foundation of statistics and understand the application of statistical methods for solving real-world problems.
For more career information including salaries, visit:
OpenCourser.com/course/2keq91/statistics
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Statistics Masterclass for Data Science and Data Analytics.
Provides a comprehensive treatment of Bayesian data analysis. It good reference for students who want to learn more about the theory and methods of Bayesian data analysis.
Provides a comprehensive treatment of causal inference. It good reference for students who want to learn more about the theory and methods of causal inference.
Provides a comprehensive treatment of statistical learning methods. It good reference for students who want to learn more about the theory and methods of statistical learning.
Save
Provides a comprehensive treatment of deep learning. It good reference for students who want to learn more about the theory and methods of deep learning.
Provides a comprehensive treatment of reinforcement learning. It good reference for students who want to learn more about the theory and methods of reinforcement learning.
Provides a comprehensive treatment of mathematical statistics and data analysis. It good reference for students who want to learn more about the mathematical foundations of statistics.
Provides a comprehensive treatment of statistical methods for social science. It good reference for students who want to learn more about the theory and methods of statistical methods for social science.
Provides a comprehensive treatment of statistical inference. It good reference for students who want to learn more about the theory and methods of statistical inference.
Provides a comprehensive treatment of regression analysis. It good reference for students who want to learn more about the theory and methods of regression analysis.
Save
Provides a comprehensive treatment of econometrics. It good reference for students who want to learn more about the theory and methods of econometrics.
Save
Provides a comprehensive treatment of time series analysis. It good reference for students who want to learn more about the theory and methods of time series analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2keq91/statistics
Share
Similar courses
Here are nine courses similar to
Statistics Masterclass for Data Science and Data Analytics.
Essential Statistics for Data Analysis
OpenCourser.com/course/lrkuv1/essential
Essential Statistics for Data Analysis
Most relevant
Business Applications of Hypothesis Testing and Confidence Interval Estimation
OpenCourser.com/course/buhbe3/business
Business Applications of Hypothesis Testing and...
Most relevant
Probability and Statistics for Business and Data Science
OpenCourser.com/course/fhxlm8/probability
Probability and Statistics for Business and Data Science
Most relevant
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
OpenCourser.com/course/8jdgcp/basic
Basic Data Descriptors, Statistical Distributions, and...
Most relevant
Hypothesis Testing with Python and Excel
OpenCourser.com/course/97hxhk/hypothesis
Hypothesis Testing with Python and Excel
Most relevant
The Power of Statistics
OpenCourser.com/course/z98mo9/the
The Power of Statistics
Most relevant
Further Mathematics Year 13 course 2: Applications of Differential Equations, Momentum, Work, Energy & Power, The Poisson Distribution, The Central Limit Theorem, Chi Squared Tests, Type I and II Errors
OpenCourser.com/course/d2d6zy/further
Further Mathematics Year 13 course 2: Applications of...
Most relevant
Statistics for Data Science with Python
OpenCourser.com/course/p34odm/statistics
Statistics for Data Science with Python
Most relevant
Introduction to Probability and Statistics
OpenCourser.com/course/d8w8s1/introduction
Introduction to Probability and Statistics
Most relevant
Effort
5 total hours
Via
Udemy
Instructor
Vijay Gadhave
Language
English
Good to know
Develops statistics and probability skills for roles in data science and business analysis
Suitable for beginners looking to establish a solid foundation in statistical concepts
Provides practical examples to illustrate statistical concepts
Utilizes engaging teaching methods to simplify complex topics
Course objective is aligned with the industry standard
Instructor has extensive experience in statistics and data science
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser