This program is designed to provide you with a solid foundation in statistical methods and their application to real-world data analysis. Throughout this course, you will learn the key concepts and techniques of statistics, such as probability theory, hypothesis testing, regression analysis, and ANOVA. You will also gain hands-on experience with statistical software tools like R, Excel, and SPSS. The course is divided into several modules, each focusing on a specific topic in statistics and data analysis. In each module, you will watch video lectures, complete interactive assignments, and participate in online discussions with your fellow students. By the end of the course, you will have a deep understanding of how to analyze and interpret data using statistical methods. You will also be able to apply your newfound knowledge to real-world scenarios, such as business analytics, social science research, and medical studies. Whether you’re a student, a working professional, or simply someone who wants to improve their data analysis skills, this course will equip you with the knowledge and tools you need to succeed. So why wait? Enroll now and start your journey toward becoming a master of statistics and data analysis!
Certificate Course Details :
Additional Accreditation & Recognition :-
- Bachelors Students (Completed or Pursuing) from any background
- Masters students (Completed or Pursuing) from any background
- Professionals working from any background
Syllabus of Program :
Introduction to Statistics
- What are statistics?
- Types of statistics- descriptive and inferential statistics.
- Basics of SPSS and R
- Graphical representation on SPSS and R.
- Use of different Graphs
- What are parametric techniques?
- Correlation- What is correlation? Types of correlation. Why do we use correlation? Doing correlation on R. Doing correlation on SPSS
- Regression analysis- What is Regression? Types of Regression analysis. Why do we use regression analysis? Doing regression analysis on R. Doing regression analysis on SPSS.
- ANOVA- What is anova? Analysis of variance and multiple analysis of variance. Why do we use it? Doing ANOVA on R. Doing ANOVA on SPSS
- Student’s t- What is t? Why o we use it? Doing t on R. Doing t on SPSS
- Moderation and Mediation- what are moderator and mediator? Why do we use them? Using R and SPSS for mediation and moderator.
- Factor Analysis – what is factor analysis? Why do we use it? Using R and SPSS for factor analysis
- What is non-parametric statistics?
- Mann Whitney U- what is Mann Whitney U? Why do we use it? Using R and SPSS for Mann- Whitney U
Key Learnings of the Program :
- Students will be able to understand the concept of statistics.
- Students will be able to understand and use parametric and nonparametric techniques to analyze the data.
- Students will able to apply different techniques with data to analyze and describe the data
- Students will able to use SPSS and R as software for analysis
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