Introduction to Data Science
4.2 (150 ratings)
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Introduction to Data Science

An overview of modern data science: the practice of obtaining, exploring, modeling, and interpreting data.
4.2 (150 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
1,600 students enrolled
Created by Data Hawk Tech
Last updated 11/2016
English
Current price: $10 Original price: $20 Discount: 50% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 3 hours on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Programming with R, Python, and SQL
  • Understand roles and careers in data science
  • Sourcing data
  • Data science in math and statistics
  • Data science and machine learning
View Curriculum
Requirements
  • basic understanding of R programming language
Description

Welcome to this course on Data Science. Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles. 

This course covers the necessary tools and concepts used in the data science industry, including machine learning, statistical inference, working with data at scale and much more. 

First, we'll start by showing you the entire process for data science projects and the different roles and skills that are needed. Then you'll learn the basics of obtaining data through a variety of sources, including web APIs and page scraping. We'll show you how to use tools like R, Python, the command line, and even spreadsheets to explore and manipulate data.

We'll also take a look at powerful techniques for analyzing data. We'll be covering a variety of techniques for planning, performing, and presenting your projects to help you get started in data science and making the most of the data that's all around you. 

Who is the target audience?
  • Anyone interested in Data Science
  • Anyone interested in a Data Scientist career
  • Software developers or programmers
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Curriculum For This Course
39 Lectures
03:04:08
+
Welcome
3 Lectures 02:54


Course files
01:05
+
Data Science Intro
3 Lectures 18:05
Career in Data Science
03:54

Venn diagram and Pipeline
08:43

Roles and Team in Data Science
05:28
+
Fields of Study
4 Lectures 10:22

Programming
02:26

Statistics
01:57

Ethics in Data Science
02:39
+
Data Sources
6 Lectures 27:14
Metrics
03:43

Existing Data
04:36

APIs
04:38

Scraping
02:16

Creating Data
03:03

Data Exploration
08:58
+
Programming
5 Lectures 21:35
Spreadsheets
03:49

R
05:18

Python
04:51

SQL
03:44

Web Formats
03:53
+
Mathematics
5 Lectures 34:46
Algebra
06:22

Systems of equations
05:11

Calculus
09:50

Big O
05:08

Bayes probability
08:15
+
Applied Statistics
3 Lectures 21:09

Confidence
05:42

Problems and Validating
09:04
+
Machine Learning
5 Lectures 27:02
Decision Trees
05:22

Ensembles
05:15

k-nearest neighbors (kNN)
05:26

Naive Bayes classifiers
05:16

Artificial neural networks
05:43
+
Communicating
4 Lectures 18:48
Interpretability
05:50

Actionable insights
04:40

Visualization for presentation
04:51

Reproducible research
03:27
+
Conclusion
1 Lecture 02:13
Final words
02:13
About the Instructor
Data Hawk Tech
4.2 Average rating
149 Reviews
1,600 Students
1 Course
data science consultants

We offer data science consulting. Our mission is to help businesses unlock the value in their data. We solve complex business problems with high-volume data engineering, analysis, and predictive modeling.