Consultant

Statistical Modelling and Analysis

Overview

Gain in-depth expertise in statistical techniques to solve business and financial problems. Learn regression, forecasting, and advanced analytics using Python and ML for data-driven decision-making.

  • 4 Hours 40 Hours of Learning
  • Learners 2.2K+ Learners
  • GST Derivatives 17,500 (incl. GST)

What You Will Learn

Probability distributions basics Statistical metrics computation Regression model building Hypothesis testing methods Time series forecasting Predictive analytics design Python for statistics ML for prediction

Skills You Will Learn

Skills
  • Tick icon

    Statistical analysis techniques

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    Model interpretation skills

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    Forecasting accuracy improvement

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    Business data analysis

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    Business data analysis

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    Predictive model evaluation

Course Key Highlights

  • Understand probability distributions for business and finance applications
  • Learn to compute and interpret key statistical metrics
  • Build regression models for forecasting and predictive analysis
  • Apply time series models to forecast business performance
  • Use Python for advanced modelling and analytical tasks
  • Enhance predictions using ML and AI techniques

Course Time

Includes:
  • Time

    Self-paced
    Modules

  • Time

    Case studies

  • Time

    Quizes

  • Time

    40 Hours of Learning

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FAQs

Does the course cover both theory and practical applications?

Yes, it blends statistical concepts with real-world business and finance examples.

Will I learn regression and forecasting methods?

Yes, regression and time series forecasting are core parts of the curriculum.

Is Python used throughout the course?

Yes, Python is applied for advanced statistical modelling and analysis.

Does it include machine learning techniques?

Yes, ML and AI methods are covered for predictive accuracy.

Can I use these skills for financial data analysis?

Yes, the techniques are relevant for both business and financial applications.

Infra

Learn advanced statistical modelling to make precise, data-backed business and financial decisions.

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