Brief Introduction
An overview of modern data science: the practice of obtaining, exploring, modeling, and interpreting data.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.
Requirements
- Requirements
- basic understanding of R programming language
Data Hawk Tech
4.3 Raiting
R for Beginners
- 4.6
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Introduction to Programming Language R. Tools for Data Science, Data Analysis and Statistical Analysis. RStudio. Do you use spreadsheets for data cleaning, wrangling, visualization, and data analysis?...
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- 0.0
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A focus on the techniques commonly used to perform statistical inference on high throughput data. We then introduce statistical modeling and how it is applied to high-throughput data....
Creating New BigQuery Datasets and Visualizing Insights
- 4.6
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This is the second course in the Data to Insights specialization. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Google Data Studio....
ServiceNow Certified System Administrator (CSA): Quebec 2021
- 4.7
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Prepare for ServiceNow CSA exam with the most comprehensive practice tests with detailed answers, screenshots and links Exam Purpose Exam Preparation...
