Data Science & Machine Learning Fundamentals

This course is part of Practical Data Science for Data Analysts Specialization

Instructor: CFI (Corporate Finance Institute)

Skills you'll gain

  •   Data Modeling
  •   Data-Driven Decision-Making
  •   Machine Learning
  •   Exploratory Data Analysis
  •   Feature Engineering
  •   Supervised Learning
  •   Data Cleansing
  •   Regression Analysis
  •   Data Storytelling
  •   Business Analytics
  •   Classification And Regression Tree (CART)
  •   Business Intelligence
  •   Statistical Analysis
  •   Predictive Analytics
  •   Data Science
  •   Data Literacy
  •   Data Analysis
  • There are 9 modules in this course

    This course will guide you through the world of data science and machine learning, using applied examples to demonstrate real-world applications. Whether you’re an aspiring data scientist or a c-level exec, this course will bring you up to speed on everything data science. You’ll be introduced to machine learning, classification, exploratory data analysis, feature selection, and feature engineering—what they mean and how they are relevant to your business. We’ll start by defining the skills, tools, and roles behind data science that work together to create insights. We’ll then walk through regression and classification—the most common predictive and statistical techniques. Finally, you will understand why having a basic understanding of data science outputs is essential to all business stakeholders and how we can use those outputs to make business decisions. Whether you are a business leader or an aspiring analyst exploring data science, this Data Science & Machine Learning Fundamentals course will serve as your comprehensive introduction to this fascinating subject. You’ll learn all the key terminology to allow you to talk data science with your teams, begin implementing analysis, and understand how data science can help your business.

    Data Science Basics

    Regression

    Classification

    Data Science Leadership

    Data Preparation

    Other Types of Analysis

    Course Conclusion

    Qualified Assessment

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