The Data Literacy Course: Learn How to Work With Data

Read, Understand, and Analyze Data

4.42 (2290 reviews)
Udemy
platform
English
language
Data & Analytics
category
instructor
23,567
students
4 hours
content
Apr 2022
last update
$84.99
regular price

What you will learn

Acquire Data Literacy

Learn from a Professional with a Proven Track Record and Valuable Experience

Master the Language of Data

Interpret Data Professionally

Become Familiar with Modern Business Analytics Techniques

How to Use Data to Improve Business Decisions

Advance Your Career

Make Better and Faster Decisions Using Data

Employ Data Effectively

Uncover Findings and Insights Independently

Description

Being data literate means having the necessary competencies to work with data.

Regardless of your field of expertise – if you want a rewarding career path – you will certainly benefit from these skills.

Any manager or business executive worth their salt is able to articulate a problem that can be solved using data.

So, if you want to build a successful career in any industry, acquiring full data literacy should certainly be one of your key objectives.

Someone who is data literate would have the ability to:

o Articulate a problem that can potentially be solved using data

o Understand the data sources involved

o Check the adequacy and fitness of data involved

o Interpret the results of an analysis and extract insights

o Make decisions based on the insights

o Explain the value generated with a use case

You will acquire all these skills by taking this course. Together, we will expand your quantitative skills and will ensure you have a solid preparation.

The course is organized into four main chapters. First, you will start with understanding data terminology – we will discuss the different types of data, data storage systems, and the technical tools needed to analyze data.

Then, we will proceed with showing you how to use data. We’ll talk about Business Intelligence (BI), Artificial Intelligence (AI), as well as various machine and deep learning techniques.

In the third chapter of the course, you will learn how to comprehend data, perform data quality assessments, and read major statistics (measures of central tendency and measures of spread).

We conclude this course with an extensive section dedicated to interpreting data. You will become familiar with fundamental analysis techniques such as correlation, simple linear regression (what r-squared and p-values indicate), forecasting, statistical tests, and many more.

By the end of the course, you will learn how to understand and use the language of data.

Your instructor for this class will be Olivier Maugain. Very few online courses are taught by people with his professional track record. Olivier has worked in various industries, such as software distribution, consulting, and consumer goods. In his current role as Decision Intelligence Manager at a major European retailer, he supports the organization in making better and faster decisions using data.

You’re about to enroll in a course that can boost your entire career!

What are you waiting for?

Click the ‘Buy Now’ button and let’s start this exciting journey today!

Content

Introduction

What does the course cover? What is Data Literacy?
Why do we Need Data Literacy?
Data-driven Decision Making
Benefits of Data Literacy
How to Get Started?

UNDERSTANDING DATA

Data Definition
Qualitative vs. Quantitative Data
Structured vs. Unstructured Data
Data at Rest vs. Data in Motion
Transactional vs. Master Data
Big Data
Storing Data
Database
Data Warehouse
Data Marts
The ETL Process
Apache Hadoop
Data Lake
Cloud Systems
Edge Computing
Batch vs. Stream Processing
Graph Database

USING DATA

Analysis vs. Analytics
Descriptive Statistics
Inferential Statistics
Business Intelligence (BI)
Artificial Intelligence (AI)
Machine Learning (ML)
Supervised Learning
Regression Analysis
Time Series Forecasting
Classification
Unsupervised Learning
Clustering
Association Rules
Reinforcement Learning
Deep Learning
Natural Language Processing (NLP)

READING DATA

Reading Data
Data Quality Assessment
Data Description
Measures of Central Tendency
Measures of Spread

INTERPRETING DATA

Data Interpretation
Correlation Analysis
Correlation Coefficient
Correlation and Causation
Simple Linear Regression
R-Squared
Forecasting
Forecast Errors
Statistical Tests
Hypothesis Testing
P-Value
Statistical Significance
Classification
Accuracy
Recall and Precision

Screenshots

The Data Literacy Course: Learn How to Work With Data - Screenshot_01The Data Literacy Course: Learn How to Work With Data - Screenshot_02The Data Literacy Course: Learn How to Work With Data - Screenshot_03The Data Literacy Course: Learn How to Work With Data - Screenshot_04

Reviews

Alma
November 9, 2022
This is really good stuff, but the personae on the screen is a bit distracting as the mouth doesn't coincide with the words. Other than that, great content!
Graham
November 8, 2022
It would be convenient to be able to pull a transcript of the entire weeks lesson instead of just one 6-minute videos worth of transcript. A master transcript of 1 week's materials would be a great reference tool and would allow for easier key word searching for topic review.
Ricardo
November 8, 2022
The only thing I would add would be actual practical guidance on how to use / calculate some of these methods
Poorvika
November 2, 2022
The session was very informative. It was very comprehensive and touches all the important points, starting from the basics of data to its effect in different use cases.
Ogbemudia
October 31, 2022
It is extremely a great match for me. So far, I have understood the importance of data and how it can drive the decision-making process.
Ooreilly37
October 30, 2022
At this point I think it may be a little advanced for me but I am learning at the same time so I will continue and I will also need to study maths on the side to refresh what I can't remember
Renee
October 21, 2022
The course is easy to understanding and interactive for beginner. I really enjoyed the use cases and the comparison with everyday activities, to help a beginner relate to the lesson better.
Norhayati
October 2, 2022
The data can organizations, improve data quality, collaborative communication, creativity and work process efficiency
Maria
September 30, 2022
Its is understandable how data literacy is essential especially to give better reference prior taking a decission. As a company, having employees with data literacy awareness is certainly a plus point and the course is really an eye opening for us to understand that better
Alyssa
September 30, 2022
The information was organized well and flowed nicely throughout the course. It is not a particularly useful course for my profession, but I can see how others could greatly benefit from it.
Audrey
September 27, 2022
Pretty good to go over some basics of data and know terms that a data analyst would use. A nice introduction for Analytics majors like myself
Patricia
September 25, 2022
It was vital information. I'm more knowledgeable about how data works and is stored. I look forward to learning more
Kevin
August 13, 2022
The data literacy course provided much more insight involved in the specifics of data and many of the components that I did not know before.
Oghenekaro
August 13, 2022
I am enjoying the course because every aspect of it is broken down to the level of my understanding and it is rich in content every.
Elizabeth
August 4, 2022
I volunteered to participate in this data literacy pilot although it is probably not a course I would have chosen to take. So far, I'm pleasantly surprised to find it more useful to me than I expected, and definitely believe it has utility for new analysts. Structure, maneuverability, and presentation of the materials are excellent.

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11/23/2022100% OFF
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11/24/2022100% OFF
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4205102
udemy ID
7/26/2021
course created date
8/18/2021
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