Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Codecademy

Data Scientist: Machine Learning Specialist

via Codecademy Path

Go to class Write review
TrainSec Ad

Learn EDR Internals: Research & Development From The Masters

Learn More → Coursera Ad

Learn AI, Data Science & Business — Earn Certificates That Get You Hired

Learn More →

Overview

Build a Learning Habit
Download Class Central's free printable study calendar
Download for Free
Machine Learning Data Scientists solve problems at scale, make predictions, find patterns, and more! They use Python, SQL, and algorithms. Includes **Python 3**, **SQL**, **pandas**, **scikit-learn**, **Matplotlib**, **TensorFlow**, and more.

Syllabus

  • Welcome to the Data Scientist: Machine Learning Specialist Career Path
    • Discover what you will learn on your journey to becoming a Data Scientist: Machine Learning Specialist!
  • Principles of Data Literacy
    • Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.
  • Learn SQL
    • Learn SQL — a popular language that’s used for communicating with databases and working with data.
  • Python Fundamentals for Data Science (Part I)
    • Build a foundation in programming with Python with a focus on Data Science!
  • Python Fundamentals for Data Science (Part II)
    • Continue building your Python Skills while applying them to real data science challenges including finding and working with real data.
  • Portfolio Project: U.S. Medical Insurance
    • Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!
  • Python Pandas for Data Science
    • Learn how to use the Python pandas library and lambda functions for Data Science.
  • Exploratory Data Analysis in Python
    • Learn about exploratory data analysis (EDA) techniques for Data Science
  • Statistics Fundamentals for Data Science
    • Learn how and when to use the essential statistical tools Data Scientists use to analyze data.
  • Data Visualization Fundamentals with Python
    • If a picture is worth a thousand words, then a visualization is worth more than a thousand data points. Learn how to make them here!
  • Portfolio Project: Data Visualization
    • Use your understanding of data visualization to analyze and plot data about GDP and life expectancy.
  • Data Wrangling, Cleaning, and Tidying
    • Clean, well-structured data is essential to data science but cleaning data requires both a keen eye and technical skills. Develop both here!
  • Communicating Data Science Findings
    • Communication is an important part of your work as a data scientist. Learn best practices for effectively explaining your analysis.
  • Data Science Foundations Portfolio Project
    • Use your knowledge of data analysis to interpret data about endangered animals for the National Park Service.
  • Next Step: The Machine Learning Specialty
    • Get ready for your data science specialization by reviewing how each role works to make meaning from data.
  • Python Fundamentals Part III
    • Expand your knowledge of Python with Classes and Modules.
  • Math for Machine Learning
    • Build your mathematics foundation in preparation for Machine Learning.
  • Statistics Fundamentals Part II
    • Continue to build your Hypothesis Testing and Experimental Design skills!
  • Machine Learning Fundamentals
    • Build a foundational understanding of machine learning and feature engineering.
  • Supervised Learning I : Regressors, Classifiers and Trees
    • Learn how to implement and evaluate Supervised Learning algorithms.
  • Feature Engineering for Data Scientists
    • Learn about feature selection methods in feature engineering.
  • Unsupervised Learning Algorithms
    • Learn about Unsupervised Learning algorithms, their implementation and where they're used.
  • Ensemble Methods in Machine Learning
    • Learn about ensembling methods in machine learning!
  • Supervised Learning II: SVM's, Recommender Systems, Naive Bayes
    • Continue building your machine learning knowledge with SVMs, Recommender Systems, and Naive Bayes Classifiers.
  • Deep Learning and Neural Networks
    • Explore how deep learning and neural networks are leveraged for machine learning!
  • Machine Learning Portfolio Project
    • Use your knowledge of machine learning to build, train, and test predictions you draw about data from OKCupid.
  • Data Scientist: Machine Learning Specialist Final Review
    • Review what you learned in the Data Scientist: Machine Learning Specialist Career Path and explore ways to deepen your knowledge!

Reviews

Start your review of Data Scientist: Machine Learning Specialist

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.