Analytics
Exploratory Data Analysis
Representing, Processing, and Preparing Data
This course covers the different data processing tools - including spreadsheets, Python, and relational databases - and deals with data quality issues and visualizing data for insight generation.
Pluralsight Teams₹4,166.75 per user/month, billed annually
₹50,004
CompleteBilled Monthly
₹2,370/mo
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Course Insight
Suitable for beginner learners. This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.
Beginner FriendlySelf-Paced Learning
SKILLS TO
MASTER
ModelingTrending
Predictive Machine LearningSQL Querying
Relational Data ManagementCareers:Data Scientist, Data Analyst, Machine Learning Engineer.
💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.
Quick Facts
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What You’ll Learn
- Course Overview : 1min.
- Understanding Data Cleaning and Preparation Techniques : 22mins.
- Preparing Data for Analysis Using Spreadsheets and Python : 39mins.
- Collecting Data to Extract Insights : 30mins.
- Loading and Processing Data Using Relational Databases : 33mins.
- Representing Insights Obtained from Data : 35mins.
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Description
Data science and data modeling are fast emerging as crucial capabilities that every enterprise and every technologist must possess these days. As the process of actually constructing models becomes democratized, the general view is shifting toward using the right data and using the data right.
In this course, Representing, Processing, and Preparing Data, you will gain the ability to correctly represent information from your domain as numeric data, and get it into a form where the full capabilities of models can be leveraged.
First, you will learn how outliers and missing data can be dealt with in a theoretically sound manner.
Next, you will discover how to use spreadsheets, programming languages and relational databases to work with your data. You will see the different types of data that you may deal with in the real world and how you can collect and integrate data to a common destination to eliminate silos.
Finally, you will round out the course by working with visualization tools that allow every member of an enterprise to work with data and extract meaningful insights.
When you are finished with this course, you will have the skills and knowledge to use the right data sources, cope with data quality issues and choose the right technologies to extract insights from your enterprise data.
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