- Promoted by: Anonymous
- Platform: Udemy
- Category: Business Analytics & Intelligence
- Language: English
- Instructor: Mandar Zarekar
- Duration: 5 hour(s)
- Student(s): 201
- Rate 0 Of 5 From 0 Votes
- Expired on March 13, 2025
-
Price:
39.9911.99
Learn key statistical concepts and techniques to analyze data with IIM Ahmedabad Alumnus
Unlock your potential with a coupon code
for the "Statistics for Data Science & Business Analytics" course by Mandar Zarekar on Udemy.
This course, boasting a 0.0-star rating from 0 reviews
and with 201 enrolled students, provides comprehensive training in Business Analytics & Intelligence.
Spanning approximately
5 hour(s)
, this course is delivered in English
and we updated the information on March 13, 2025.
To get your free access, find the coupon code at the end of this article. Happy learning!
Master the Fundamentals of Statistics and Elevate Your Data Analysis Skills!
Are you looking to build a strong foundation in statistics for data science, analytics, and decision-making? This beginner-to-intermediate level course is designed to simplify complex statistical concepts with real-world applications, helping you gain confidence in data analysis, hypothesis testing, and regression modeling.
What You’ll Learn:
Module 1: Introduction to Statistics –
Understand the role of statistics in data science
types of data
key distinctions between descriptive & inferential statistics.
Module 2: Descriptive Statistics –
Learn about measures of central tendency (mean, median, mode)
Measure of dispersion (range, variance, standard deviation)
visualize data using histograms, box plots, and scatter plots.
Module 3: Probability Basics –
Master probability concepts
conditional probability
Bayes’ theorem
Module 4: Probability Distributions –
Understanding Discrete and Continuous Probability distributions
Binomial Distribution
Poisson Distribution
Normal Distribution
Exponential Distribution
Central Limit Theorem(CLT)
Module 5: Inferential Statistics –
Dive into sampling techniques
What is confidence intervals
hypothesis testing
Types of errors
t-tests & z-tests
Understanding chi-square test
Module 6: Regression & Correlation – ( Coming Soon)
Explore correlation analysis, simple & multiple linear regression, R-squared value, and the line of best fit to make data-driven predictions.
Who Is This Course For?
Aspiring Data Scientists, Business Analysts, and Researchers
MBA & Analytics Students looking to strengthen their statistical foundation
Students & professionals in Finance, Marketing, and Business Strategy
Anyone looking to interpret and analyze data effectively
Why Take This Course?
Beginner-friendly explanations with real-world examples
No prior advanced math required—concepts explained intuitively
Hands-on learning with statistical tools and visualization techniques
Essential for careers in data-driven decision-making
By the end of this course, you’ll be able to confidently apply statistical techniques to analyze data, test hypotheses, and build predictive models—a must-have skill set for any data professional!
Ready to turn data into actionable insights? Enroll now and master statistics for real-world decision-making!
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