Data Science by Codecademy

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  • Course platform: Code Academy
  • Level: Beginner
  • Price: Paid course (With Certificate).
  • Class Length: Approx. 35 weeks

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What is data science?

Data science is a multidisciplinary field that focuses on using scientific methods and processes to develop insights from data. It is the overall understanding and practice of using data and mathematical principles to learn more about the world around us. This covers everything from basic database coding practices to state-of-the-art advances in artificial intelligence.

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About this course

As data Science is one of the fastest-growing fields in tech industries. Upon completion of this Codecademy data science course you will get a dream job by mastering the skills you need to analyze data with SQL and Python. Even also you will go further by building Machine Learning algorithms

What you will learn from this course?

In this course on data science, you will cover the following points such as:

  • The Importance of Data and SQL Basics

You will be able to learn about the tools Data Analysts use to find insights in datasets and the basic syntax of the SQL language and also you will learn the basics of SQL databases and write your first queries.

  • SQL: Intermediate

In this course, you will learn to increase the number of tools in your SQL toolset by learning about aggregates and multiple tables.

  • Go Off-Platform with SQL

Set up a SQL database on your own computer and practice the commands you’ve learned and also learn to analyze Real Data with SQL.

  • Python Functions and Logic

Learn the basics of abstraction, as you create repeatable blocks of code and tell your program how to navigate through the instructions you provide for it, and learn about Python lists for organizing your data and loops for repeating blocks of code.

  • Advanced Python

Learn how to write more efficient Python code with list comprehensions and lambda functions and Python Cumulative Project.

  • Learn Data Analysis with Pandas

Learn the basics of Pandas, an industry-standard Python library that provides tools for data manipulation and analysis.

  • Data Visualization and Visualization Cumulative Projects

You will have practice with data visualization skills on these real-world datasets.

  • Data Visualization Capstone Projects

Complete one of our two capstone projects that will test all of your data visualization skills.

  • Learn Statistics with Python and NumPy

Learn how to calculate and interpret several descriptive statistics using the Python library NumPy. Python library used to store arrays of numbers, organize large amounts of data, and perform statistical calculations.

  • Hypothesis  Testing with SciPy

Learn SciPy, a Python module for comparative statistics, in order to perform many different statistical tests in code.

  • How to Clean Data with Python

Pull and clean data from the web with this Python-based course.

  • Data Analysis Capstone Projects

You will complete two capstone projects that will test all of your data analysis skills.

  • Learn Web Scraping with Beautiful Soup

Learn Beautiful Soup, a popular Python library for web scraping.

  • Machine Learning: Supervised Learning

Discover how to use supervised learning techniques, in which algorithms learn from many examples of past outcomes.

  • Supervised  Machine Learning Cumulative Project

In this cumulative project, use your understanding of a variety of supervised machine learning models to analyze social media data.

  • Machine Learning: Unsupervised Learning

Learn about how to perform learning on a dataset when we don’t have any of the answers, to begin with. How do we look for an inherent structure?

  • Unsupervised Machine Learning Cumulative Project

Create a project on your own computer that demonstrates your understanding of unsupervised machine learning!

  • Perceptrons and Neural Nets

Learn the concepts behind neural nets and begin to create your own by implementing a perceptron — the building blocks of neural nets.

  • Machine Learning Capstone Project

Use a dataset from OkCupid and the machine learning skills you have learned to try to find true love!

  • Natural Language Processing

Build code that powers tools from virtual assistants to autocorrect.

What will you be able to do?

Here are just a few things you will be able to with this career path:

  • You will GET A GRASP OF BIG DATA and you will use SQL to talk to databases and manipulate tables like a real data scientist.
  • You will GO BEYOND STATS WITH PYTHON with the use of Python for statistical analysis and create data visualizations to see the big picture.
  • You will be able to USE MACHINE LEARNING AND AI Create models that can automate data processes, recognize patterns, and make recommendations.

Who this course is for?

This data science by Codecademy course is for those who want to become data scientists and data analysts.

About Codecademy Pro

To get Career Paths, sign up for Codecademy Pro. With Codecademy Pro

You will have unlimited access to everything you need to take your learning to the next level.

  • You will get a step-by-step ROADMAP and skill Paths and career paths guide you through where to start and what to learn next to reach your goal.
  • You will be able to create a REAL-WORLD PROJECTS.
  • You will GET SUPPORT FROM THE COMMUNITY. Rally together with other Pro members to collaborate, share resources, stay accountable, and more.

Note: Your review matters

If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.

Specification: Data Science by Codecademy

Course Platform Codecademy
Level Beginner
Class length <1 year
Program details Microdegree
Enrollment Paid Course (paid certificate)
Course Subjects Data Science, Data Science with 'Python', Machine learning, Natural language processing

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