Ready to Decipher the World of Data?

Business Statistics Foundation Certification (BSFC)

Upcoming Cohort

February ’24: Open Now
January ’24: SOLD OUT
December ’23: SOLD OUT
November ’23: SOLD OUT

Course Overview:

Step into the intricate world of business statistics. This online course is carefully curated to endow learners with the knack to decipher, analyze, and interpret data in the business domain. Delve into a variety of tools and methodologies that allow you to gauge business performance, understand market dynamics, and predict future outcomes with enhanced accuracy.

Business Statistics in a Data-Centric Era

In a world ruled by data, Business Statistics stands out as a compass for enterprises. Its significance is multifaceted:

  1. Guided Decision-Making: Enables data-backed choices.

  2. Performance Enhancement: Uses KPIs for optimizing strategies.

  3. Risk Management: Anticipates challenges using past data.

  4. Market Insights: Understands consumer preferences and market shifts.

  5. Quality Assurance: Employs techniques to maintain product excellence.

  6. Customer Engagement: Deep dives into customer trends to refine outreach.

Certification Price:

INR 5,490/- (inc. taxes)

Mode:

Online Live Sessions

Why is this Course Imperative for Business Analytics?

Business statistics play a fundamental role in business analytics, serving as a cornerstone to:

  1. Understand market dynamics and consumer behavior.
  2. Enhance decision-making processes based on concrete data.
  3. Measure and assess business performance over time.
  4. Strategically plan and forecast future business outcomes.
  5. Allocate resources effectively based on statistical insights.

In the present evolving business environment, proficiency in business statistics is highly prized across various sectors, including manufacturing, services, IT, and e-commerce. Undertaking this course not only augments your analytical prowess but also sets the stage for a successful trajectory in a field of immense importance.

Learning Outcomes :

Upon successful completion of this course, participants will have the proficiency to:

  1. Understand the core concepts that drive business statistics.
  2. Systematically collect, categorize, and analyze business data.
  3. Utilize statistical techniques such as regression, hypothesis testing, and probability in evaluating business metrics.
  4. Apply statistical insights to enhance areas like operations, supply chain, sales forecasts, and financial predictions.
  5. Clearly communicate statistical insights and findings to decision-makers.
  6. Wisely choose the right statistical tools and software for particular business needs.

Hear from past cohort students

Solid foundation in stats built with the Business Statistics course. Interactive exercises and quizzes kept me engaged and learning. Thanks, Business Analytics Institute!

Business Statistics by Business Analytics Institute helped me conquer my fear of numbers. Real-world examples made it easy to grasp complex concepts. Highly recommended !

Started with limited stats knowledge, now I can analyze data like a pro! Business Analytics Institute’s Business Statistics course gave me the tools and confidence to excel.

Ready to Decipher the World of Data?

Detailed Curriculum

Types, applications, data categories & handling, scales of measurements.

Descriptions, usage, dispersions, random variables, sets, covariance, correlation, skewness, histograms with Python.

Probability distribution functions, density functions, applications of PDF, CDF, PMF, normal & Gaussian distribution, Bernoulli, Binomial & Poisson distribution, QQ plots with Python.
Standard Normal distribution, Z score applications, Z table, Central Limit Theorem, Uniform distribution.
Estimate, hypothesis testing mechanisms, P value, T-distribution, T-stats, T Test, Z test examples.
Type 1 & Type 2 errors, Confidence Error, Margin of error.
Comparison of T test & Z test, Chi Square Test of Goodness, Chi Square with Python.
Detailed F-distribution, Variance Ratio Test (F-test), F-test with Python.
Introduction, assumptions, types, variance partitioning, Bayes Theorem.
Introduction to Generative AI and various tools and their use-cases in businesses.

Learning Approach

    • Theoretical Knowledge: Overview of the concepts and theories covered.
    • Practical Application: Hands-on exercises, case studies, and real-world problem solving.

Personalized Learning Experience

    • Individual Learning Paths: How this course caters to individual learning needs.
    • Interactive Modules: Highlights of the engaging and interactive aspects of the course.