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Business Analytics Foundations

Course Description

Description

This self-paced, foundational course empowers learners with the core principles, tools, and frameworks used in data-driven business decision-making. Blending strategy with analytics, it’s ideal for aspiring analysts, managers, and professionals who want to leverage data to solve business problems.

Learners gain practical skills in Excel, SQL, Tableau, Power BI, and Python basics, along with insights into predictive analytics, AI-powered dashboards, and real-time business monitoring — aligning with 2025 industry trends.

What You Will Learn

  • Understand the types of business analytics: descriptive, diagnostic, predictive, prescriptive

  • Clean and prepare data for decision-making

  • Perform trend analysis and build key business metrics (KPIs)

  • Use Excel and SQL for data exploration

  • Visualize business data using Tableau and Power BI

  • Build simple forecasting and what-if models

  • Interpret insights for marketing, finance, and operations

  • Learn the fundamentals of AI-assisted BI tools

  • Apply analytics in case-based real-world scenarios

Course Curriculum

  • Introduction to Business Analytics

    • Importance of analytics in modern enterprises

    • Data-driven vs intuition-based decision making

  • Types of Business Analytics

    • Descriptive, diagnostic, predictive, prescriptive

    • Real-world use cases (marketing, supply chain, HR)

  • Descriptive Statistics

    • Measures of central tendency: mean, median, mode

    • Measures of dispersion: range, variance, standard deviation

    • Data visualization: box plots, bar charts, scatter plots

  • Probability and Statistical Inference

    • Fundamentals of probability

    • Conditional probability and Bayes’ Theorem

    • Sampling methods and the Central Limit Theorem

  • Hypothesis Testing

    • Null and alternative hypotheses

    • p-values and confidence intervals

    • t-tests, z-tests, ANOVA, chi-square test

    • Real-world business scenarios (A/B testing, surveys)

  • Correlation and Regression Analysis

    • Pearson and Spearman correlation

    • Simple and multiple linear regression

    • Evaluating regression models and assumptions

  • Introduction to Bayesian Statistics

    • Basics of Bayesian inference

    • Comparing Bayesian and frequentist approaches

    • Applications in forecasting and risk modeling

  • Statistics with Python or R (Hands-on)

    • Using Python (pandas, statsmodels, seaborn)

    • Or using R (tidyverse, ggplot2, caret)

    • Running statistical tests and interpreting outputs

  • Emerging Trends in Statistical Analytics (2025)

    • AI-assisted data summarization

    • Predictive modeling using statistical techniques

    • Data bias and ethics in statistical analysis

    • Tools like ChatGPT, Copilot, and AutoML in statistics workflows

  • Final Assessment and Certification

    • Mini-project using a real dataset

    • Apply statistical techniques to solve a problem

    • Submit analysis and receive a verified certificate

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Title From Date To Date Cost
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This Course Fee:

₹19,999.00

₹30,000.00
Course includes:
  • img Level
      Beginner Intermediate
  • img Duration 8h
  • img Passing Marks 90
  • img Exam Duration 1h 30m
  • img Certifications Yes
  • img Language
      English German Arabic French Spanish
  • img Access 90 days
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