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.
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About this Course
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Shareable Certificate
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Beginner Level
Approx. 11 hours to complete
English
Subtitles: English
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.
Course 1 of 8 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 11 hours to complete
English
Subtitles: English
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
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
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
Summary and Highlights10m
4 practice exercises
Practice Quiz15m
Graded Quiz15m
Practice Quiz10m
Graded Quiz15m
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
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
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
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
Summary and Highlights10m
4 practice exercises
Practice Quiz10m
Graded Quiz 15m
Practice Quiz 10m
Graded Quiz 15m
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
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
Summary and Highlights10m
4 practice exercises
Practice Quiz 10m
Graded Quiz 15m
Practice Quiz 10m
Graded Quiz 15m
Reviews
TOP REVIEWS FROM INTRODUCTION TO DATA ANALYTICS
by OKSep 17, 2020
highly organised and impactful, thank you for giving me the lift in my career
About the IBM Data Analyst Professional Certificate
Gain the job-ready skills for an entry-level data analyst role through this eight-course Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth until 2028 (U.S. Bureau of Labor Statistics).
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.
