Business Analytics: Strategies for Data-Driven Decision Making

Students will explore various analytics tools and techniques, including statistical analysis, predictive modeling, and data visualization. The curriculum emphasizes practical applications, enabling learners to apply their knowledge to real-world business challenges. This course is perfect for professionals aiming to enhance their decision-making capabilities and drive business strategy through robust data analysis.


4033 ratings
60,458 students enrolled
27% off

Course Highlights

Live Classes

Engage in interactive sessions led by experienced mentors.

Placement Assistance

Gain exclusive access to Skolar's job portal for career opportunities.

Beginner to Advance

No prior experience required; suitable for learners at all levels.

Project Based Learning

Learn through hands-on experience through projects

Industry Expertise

Engage in interactive sessions led by experienced mentors.

Quick Course

Join a comprehensive program spanning 12 weeks

Course Highlights

Meet your mentors for this course

Course content

  • Introduction to Business Analytics and its impact on Business.
  • Types and Overview of Analytics: Descriptive, Predictive, and Prescriptive.
  • Data Analytics: Introduction to data analytics, data, information.
  • Introduction to IBM SPSS: Inserting Data and Defining Variables.
  • Data Cleaning: Handling missing values and outliers.
  • Fundamentals of Descriptive Analytics: Mean, Median, SD, Variance.
  • Data Normality: Understanding normality, methods of checking normality.
  • Hypothesis Testing: Meaning of hypothesis, types, and process.
  • Drafting hypotheses for real-life problems.
  • Parametric Tests: t-test, ANOVA, z-test.
  • Non-Parametric Tests: Chi-square test.
  • Practical implementation of statistical tests on SPSS.
  • Correlation: Types and degrees of correlation.
  • Practical implication of correlation analysis using SPSS.
  • Regression Analysis: Assumptions, regression equation, linear, and logistic regression.
  • Practical implication of regression analysis using IBM SPSS.
  • Practical Implementation of Factor Analysis Using SPSS: Data Import and Manipulation.
  • Descriptive Statistics and Inferential Statistics
  • Customization, Automation, and Data Mining.
  • Chi-square Test of Independence and Contingency Tables.
  • Goodness-of-Fit Chi-square Test and Chi-square Test for Homogeneity
  • ANOVA: One-Way, Two-Way, Factorial, Assumptions, ANCOVA, Repeated Measures.
  • Direct Marketing Techniques, RFM Analysis, and Cluster Analysis.

Ratings and Reviews

What do our students have to say about this course


4033 ratings

Recruiter’s feedback

What do founders/recruiters have to say about this course

Frequently Asked Questions

Skolar is a skill development and internship training platform that not only allows you to find relevant career opportunities but even comprehensively prepares you for placements
You can easily book a program at Skolar by choosing your preference. Whether you want placement training or skill development, you can browse our courses and pick your preferred course.
Skolar allows you to find courses such as Machine Learning, Web Development, Artificial Intelligence, Cyber Security, Digital Marketing, Finance, and more.
Skolar has the following placement training programs:
Course 1
Course 2
Course 3

Ready to start learning with Skolar?

Our wide database of learners includes candidates that have settled into major companies like Amazon.

Fill the form and we’ll get back to you with all the details