Preview Only - Full course includes 50+ hours of video content

What You'll Learn

Course Content Preview

Here's a taste of what you'll get in this comprehensive digital marketing course:

Introduction to Digital Marketing

Digital Marketing involves promoting products and services using digital channels like social media, search engines, email, and websites to reach and engage a target audience effectively.

Fundamentals for Digital Marketing

                    

Key Statistical Concepts

  • Descriptive Statistics - Mean, median, mode, variance, standard deviation
  • Probability Distributions - Normal, Binomial, Poisson distributions
  • Hypothesis Testing - T-tests, Chi-square tests, ANOVA
  • Correlation and Regression - Pearson, Spearman, linear regression

Machine Learning Pipeline

A typical machine learning workflow involves several key steps:

  1. Data Collection - Gathering data from different sources
  2. Data Cleaning - Handling missing values, outliers, and inconsistencies
  3. Feature Engineering - Creating new features from existing ones
  4. Model Training - Using algorithms to learn patterns from data
  5. Model Evaluation - Measuring performance using metrics
  6. Model Deployment - Implementing the model in production
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50+ Hours Content

Comprehensive lessons covering all aspects of modern Digital Marketing

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20+ Projects

Build real-world Digital Marketing applications for your portfolio

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Lifetime Updates

Access to all future content and latest techniques