This top-rated data science course will help you understand what data science is, what it takes to become a data scientist, and prepare you to take the first step on your journey into this exciting career! And make sure to check out Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street.
Understanding Data Science Course
⭑⭑⭑⭑⭑ 5.0/5.0 – 374,996 students
Data Science Course Content
In this course, we’ll explore the different kinds of data and how to get collect it. You’ll also learn how to organize and clean data, as well as how to visualize your results. Finally, we’ll take a look at some real-world applications for data science. Data science is a broad term that encompasses many different types of work. In this course, you’ll learn how to do data science in the context of an applied project with real-world requirements.
You’ll start by learning the basics: what data science is, why it’s important, and what kinds of things it can be used for. Then you’ll dive into some core concepts like probability and statistics, probability distributions, and Bayesian statistics. Next, you’ll learn about modeling techniques such as regression and classification models (including logistic regression) before diving into machine learning algorithms like neural networks and decision trees. Finally, you’ll explore how to use these algorithms in practice using Python tools. By the end of this course, you’ll have all the skills necessary to start doing data science in your own projects!
Why Take This Data Science Class
The main objective to help you understand and work with data. Data Science is not just about working with data but also about knowing how to solve real-world problems using statistical methods and machine learning algorithms. The course covers a wide range of topics from statistics, probability theory, linear algebra, calculus, etc. It also covers important concepts such as Bayesian statistics and what it means to be data-driven.
The course covers all this material in a very friendly manner using Python as the main tool for doing all the programming exercises and your project work. This means that you will be creating your own data analysis tools that can be used in any future project or job role involving data science.
The Data Science Career Path
If you’re interested in a career as a data scientist, check out Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street. This course will cover:
-What it takes to be a data scientist
-How to break into the field
-The different types of data scientists and what they do every day
-What skills you will need to become a data scientist
Course Reviews on ClassReviewed.com
There are no reviews yet. Be the first one to write one.
Have You Taken This Course? Submit Your Review
Top 4 FREE Data Science Courses
Data science is a growing field that focuses on using data to solve problems. Data Science has been used to answer questions like: How many people like pizza? What’s the best way to get people to click on this link? How much revenue my company will generate in the next year? In these Data Science courses, you’ll learn how data science has changed over time and where it’s headed.
#1 – A Crash Course in Data Science ⭑⭑⭑⭑⭑ 4.5/5.0 – 7,964 ratings – 188,207 students
Coursera’s Data Science Specialization is one of the most popular and well-respected online data science courses. It covers a wide variety of topics, including machine learning, natural language processing, big data, and more. Each course has its own schedule and deadlines, but you can move through them at your own pace.
While it may seem like a lot to take on at once, each course builds on the previous ones and provides context for the next topic in the sequence. For example, one of the first four classes covers data exploration techniques like sorting and visualizing. You can use those skills throughout the rest of the specialization as you learn more advanced techniques.
The courses are taught by Andrew Ng, who is also one of Coursera’s co-founders. He was an associate professor in Stanford University’s Computer Science Department, where he co-founded Stanford’s AI Lab and led the development of its MOOC platform. The data science specialization consists of five courses: Machine Learning, Statistics and Probability, Data Mining, Cloud Computing for Data Scientists, and Natural Language Processing (NLP)
#2 – Introduction to Computational Thinking and Data Science ⭑⭑⭑⭑⭑ 5.0/5.0
Data science is an interdisciplinary field that explores how data can be analyzed and interpreted to answer questions, solve problems and aid in decision making. It involves the collection, storage and processing of large amounts of structured, unstructured and graphically-rich data. Data science is a new paradigm that emphasizes the use of information technology to extract knowledge and insights from data.
The goal of this course is to provide students with a broad overview of data science, including some basic principles of statistics, machine learning, database systems, distributed computing and web programming. The main topics covered in this course include: Statistics, Data Mining, Machine Learning, Database Systems, Distributed Computing.
#3 – Data Science: R Basics ⭑⭑⭑⭑⭑ 5.0/5.0 – 754,973 students
If you’re interested in learning more about data science, there are a number of resources available online. This course covers the basic concepts and tools of data science, including statistical thinking, exploratory data analysis, machine learning, and databases.
#4 – Foundations: Data, Data, Everywhere ⭑⭑⭑⭑⭑ 4.8/5.0 – 58,433 ratings – 1,276,543 students
This is the first course in the Google Data Analytics Certificate. This data class will teach you the skills required for introductory-level data analyst jobs. Companies of all sizes need data analysts to help them improve systems/processes, find opportunities, and make data-driven decisions.
Watch the entire Google Data Science course series for FREE via the videos below:
The Best Online Course Reviews
Search our database of the best online course reviews at www.ClassReviewed.com
