IBM

About this Course

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This course presents a gentle introduction into the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions. You will gain an understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining.  You will then learn the soft skills that are required to effectively communicate your data to stakeholders, and how mastering these skills can give you the option to become a data driven decision maker.
This course will help you to differentiate between the roles of a Data Analyst, Data Scientist, and Data Engineer. You will learn the responsibilities of a Data Analyst and exactly what data analysis entails. You will be able to summarize the data ecosystem, such as databases and data warehouses. You will then uncover the major vendors within the data ecosystem and explore the various tools on-premise and in the cloud. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. By the end of this course you will be able to visualize the daily life of a Data Analyst, understand the different career paths that are available for data analytics, and identify the many resources available for mastering this profession.

     Throughout this course you will learn the key aspects to data analysis. You will begin to explore the fundamentals of gathering data, and learning how to identify your data sources. You will then learn how to clean, analyze, and share your data with the use of visualizations and dashboard tools. This all comes together in the final project where it will test your knowledge of the course material, explore what it means to be a Data Analyst, and provide a real-world scenario of data analysis. 

     This course does not require any prior data analysis, spreadsheet, or computer science experience. All you need to get started is basic computer literacy, high school level math, and access to a modern web browser such as Chrome or Firefox.

Shareable Certificate

Earn a Certificate upon completion

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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 11 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish

Skills you will gain

Data ScienceSpreadsheetData AnalysisMicrosoft Excel

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 11 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish

Instructor

Instructor rating

4.67/5 (351 Ratings)

Rav Ahuja

AI and Data Science Program Director

IBM

587,019 Learners

14 Courses

Offered by

IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.

Syllabus - What you will learn from this course

Content Rating97%(4,500 ratings)

Week

Week 1

2 hours to complete

What is Data Analytics

In this module, you will learn about the different types of data analysis and the key steps in a data analysis process. You will gain an understanding of the different components of a modern data ecosystem, and the role Data Engineers, Data Analysts, Data Scientists, Business Analysts, and Business Intelligence Analysts play in this ecosystem. You will also learn about the role, responsibilities, and skillsets required to be a Data Analyst, and what a typical day in the life of a Data Analyst looks like.

2 hours to complete

9 videos (Total 40 min), 3 readings, 4 quizzes

9 videos

Course Introduction2m

Modern Data Ecosystem 4m

Key Players in the Data Ecosystem5m

Defining Data Analysis 5m

Viewpoints: What is Data Analytics?3m

Responsibilities of a Data Analyst 4m

Viewpoints: Qualities and Skills to be a Data Analyst4m

A Day in the Life of a Data Analyst 5m

Viewpoints: Applications of Data Analytics2m

3 readings

Data Analytics vs. Data Analysis2m

Summary and Highlights10m

4 practice exercises

Practice Quiz15m

Graded Quiz15m

Practice Quiz10m

Graded Quiz15m

Week

Week 2

3 hours to complete

The Data Ecosystem

In this module, you will learn about the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks. You will gain an understanding of various types of data repositories such as Databases, Data Warehouses, Data Marts, Data Lakes, and Data Pipelines. In addition, you will learn about the Extract, Transform, and Load (ETL) Process, which is used to extract, transform, and load data into data repositories. You will gain a basic understanding of Big Data and Big Data processing tools such as Hadoop, Hadoop Distributed File System (HDFS), Hive, and Spark.

3 hours to complete

11 videos (Total 68 min), 2 readings, 4 quizzes

11 videos

Overview of the Data Analyst Ecosystem3m

Types of Data 4m

Understanding Different Types of File Formats4m

Sources of Data7m

Languages for Data Professionals 8m

Overview of Data Repositories4m

RDBMS7m

NoSQL7m

Data Marts, Data Lakes, ETL, and Data Pipelines6m

Foundations of Big Data5m

Big Data Processing Tools6m

2 readings

Summary and Highlights10m

Summary and Highlights 10m

4 practice exercises

Practice Quiz 15m

Graded Quiz 15m

Practice Quiz 18m

Graded Quiz18m

Week

Week 3

2 hours to complete

Gathering and Wrangling Data

In this module, you will learn about the process and steps involved in identifying, gathering, and importing data from disparate sources. You will learn about the tasks involved in wrangling and cleaning data in order to make it ready for analysis. In addition, you will gain an understanding of the different tools that can be used for gathering, importing, wrangling, and cleaning data, along with some of their characteristics, strengths, limitations, and applications.

2 hours to complete

7 videos (Total 40 min), 2 readings, 4 quizzes

7 videos

Identifying Data for Analysis5m

Data Sources4m

How to Gather and Import Data 6m

What is Data Wrangling?6m

Tools for Data Wrangling5m

Data Cleaning 6m

Viewpoints: Data Preparation and Reliability4m

2 readings

Summary and Highlights10m

4 practice exercises

Practice Quiz10m

Graded Quiz 15m

Practice Quiz 10m

Graded Quiz 15m

Week

Week 4

2 hours to complete

Mining & Visualizing Data and Communicating Results

In this module, you will learn about the role of Statistical Analysis in mining and visualizing data. You will learn about the various statistical and analytical tools and techniques you can use in order to gain a deeper understanding of your data. These tools help you to understand the patterns, trends, and correlations that exist in data. In addition, you will learn about the various types of data visualizations that can help you communicate and tell a compelling story with your data. You will also gain an understanding of the different tools that can be used for mining and visualizing data, along with some of their characteristics, strengths, limitations, and applications.

2 hours to complete

8 videos (Total 44 min), 2 readings, 4 quizzes

8 videos

Overview of Statistical Analysis8m

What is Data Mining?5m

Tools for Data Mining6m

Overview of Communicating and Sharing Data Analysis Findings5m

Viewpoints: Storytelling in Data Analysis3m

Introduction to Data Visualization5m

Introduction to Visualization and Dashboarding Software7m

Viewpoints: Visualization Tools3m

2 readings

Summary and Highlights10m

4 practice exercises

Practice Quiz 10m

Graded Quiz 15m

Practice Quiz 10m

Graded Quiz 15m

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.

Introduction to Data Analytics