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via Udemy |
Go to Course: https://www.udemy.com/course/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? Aspiring Data Scientists, Business Analysts, and ResearchersMBA & Analytics Students looking to strengthen their statistical foundationStudents & 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 examplesNo prior advanced math required-concepts explained intuitivelyHands-on learning with statistical tools and visualization techniquesEssential for careers in data-driven decision-makingBy 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!