Description

Course Description:

The Statistical Analysis Using Certified Course is a comprehensive, hands-on program designed to equip learners with the skills required to perform effective statistical data analysis for real-world applications. This course covers the foundational and advanced techniques of descriptive and inferential statistics, hypothesis testing, regression modeling, and data interpretation using modern analytical tools and software.

Through a combination of theoretical understanding and practical implementation, participants will learn how to collect, analyze, visualize, and draw conclusions from data—enabling them to support data-driven decision-making in business, research, healthcare, social sciences, and more. Whether you’re a student, researcher, or working professional, this course provides the essential tools to enhance your analytical capabilities.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After  Statistical Analysis using Certified Course:

• Data Analyst
• Business Analyst
• Statistical Analyst
• Market Research Analyst
• Biostatistician
• Data Scientist
• Financial Analyst
• Quality Analyst

Essential Skills you will Develop Statistical Analysis using Certified Course:

• Descriptive and Inferential Statistics
• Probability Theory
• Data Cleaning and Preprocessing
• Regression and Correlation Analysis

Tools Covered:

• Data entry, sorting, and filtering
• Statistical functions
• Pivot tables and charts

Syllabus:

Module 1: Introduction to Statistics Basics of statistics and its significance Types of data: Qualitative vs Quantitative Scales of measurement: Nominal, Ordinal, Interval, Ratio Population vs Sample Data collection techniques.

Module 2: Descriptive Statistics Measures of central tendency: Mean, Median, Mode Measures of dispersion: Range, Variance, Standard Deviation Skewness and Kurtosis Frequency distribution tables. Data visualization: Histograms, Bar charts, Pie charts, Box plots

Module 3: Probability and Probability Distributions Basic probability rules and concepts Conditional probability and Bayes’ Theorem Discrete and continuous distributions Binomial, Poisson, and Normal distributions Central Limit Theorem.

Module 4: Sampling and Sampling Distributions Sampling techniques: Random, Stratified, Cluster, Systematic Sampling errors vs non-sampling errors Sampling distributions and the Law of Large Numbers Standard error and confidence intervals.

Module 5: Hypothesis Testing Null and alternative hypothesis Type I and Type II errors Z-test, T-test (one-sample, two-sample), F-test P-values and significance levels Chi-square test for independence and goodness of fit.

Module 6: Correlation and Regression Analysis Scatter plots and correlation coefficients Pearson and Spearman correlation Simple linear regression Multiple linear regression Model assumptions and diagnostics.

Module 7: Analysis of Variance (ANOVA) One-way ANOVA Two-way ANOVA Post hoc analysis (Tukey’s HSD) Applications of ANOVA in real-world datasets

Module 8: Time Series Analysis Components of time series: Trend, Seasonality, Cyclical Moving averages and exponential smoothing Autocorrelation and partial autocorrelation ARIMA models basics Forecasting techniques.

Module 9: Statistical Tools and Software Introduction to Excel for stats SPSS for descriptive and inferential analysis R programming basics for stats Python libraries (Pandas, Numbly, Statsmodels, Seaborn) Case study: Tool-based statistical analysis.

Module 10: Capstone Project and Case Studies Real-world industry case study implementation Hands-on project using real data Report preparation and result interpretation Domain-specific applications: Healthcare, Business, Engineering, Social Sciences.

Industry Projects:

• Market Research & Customer Analytics
• Sales Forecasting Using Time Series
• Quality Control in Manufacturing

Who is this program for?

• Students & Graduates
• Researchers & Academicians
• Working Professionals

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com