Statistics for Data Science & Business Analytics

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 datakey 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 conceptsconditional probabilityBayes' theorem Module 4: Probability Distributions - Understanding Discrete and Continuous Probability distributions Binomial DistributionPoisson DistributionNormal DistributionExponential DistributionCentral Limit Theorem(CLT)Module 5: Inferential Statistics - Dive into sampling techniquesWhat is confidence intervalshypothesis testing Types of errorst-tests & z-testsUnderstanding chi-square testModule 6: Regression & Correlation - 1.

Understanding correlation and Causation2. Linear Regression Analysis-coding exercise3. Interpreting the Linear Regression equation4.

Interpreting the key summary statistics of Regression5. Key assumptions and limitations in Simple Linear Regression6. Multi Linear Regression ( coming soon) Who Is This Course For.