Data Analytics: An Introduction
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Course
Data Analytics: An Introduction
Kickstart your data analytics journey by building essential skills in the data analysis. Learn key tools and techniques that employers look for.
Self-Paced
Mentored
Beginner
Duration
The demand for data analysts is projected to grow by over 30 percent (US Bureau of Labor Statistics). This means businesses need professionals equipped with data analysis skills! In this course, youll explore the fundamentals of data analysis and kickstart your data analytics journey.
During this course, which is also part of the IBM Data Analyst Professional Certificate, youll explore the modern data ecosystem and the roles of data engineers, data analysts, data scientists, business analysts, and business intelligence analysts. Youll learn about a data analyst's daily tasks and responsibilities, looking at techniques for gathering, cleaning, and preparing data for analysis. Plus, you'll gain a comprehensive understanding of the tools and technologies data professionals use.
As you progress through the course, you will also gain insights into various data analyst career paths that will help you envision your roadmap to becoming a successful data analyst.
You will then apply your new knowledge in a final project that challenges you with a real-world scenario in data analysis so you can showcase your skills to prospective employers.
Enroll today and kickstart your data analytics career... You have a lot to look forward to!
This course comprises nine purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 10 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
You will be able to:
- Explain what Data Analytics is and the key steps in the Data Analytics process.
- Differentiate between data roles such as data engineer, data analyst, data scientist, business analyst, and business intelligence analyst.
- Describe the different types of data structures, file formats, and data sources.
- Explain the use of different types of data repositories, the ETL process, and Big Data platforms.
- List the different career opportunities in data analysis and the resources needed to become skilled in this domain.
- Demonstrate your understanding of gathering, wrangling, mining, analyzing, and visualizing data.
- Students exploring data-related careers
- Professionals looking to upskill in analytics
- No prior experience is necessary
- Basic knowledge of using a computer
Course Outline
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
In the Data Analytics: An Introduction course, youll gain a strong foundation in the fundamentals of data analytics. Youll explore the modern data ecosystem, learn about key roles in data analytics, and understand how to gather, wrangle, and analyze data. The course also covers RDBMS, NoSQL, ETL, and data lakes, along with an introduction to visualization and dashboarding tools for effective communication of data insights.
The four types of data analytics are descriptive, diagnostic, predictive, and prescriptive analytics. Each helps professionals understand historical data, find the causes of trends, forecast future outcomes, and recommend actions to improve results.
The key concepts include data collection, data wrangling, data analysis, and data visualization. These steps form the foundation of any effective analytical process and are covered in detail in the Introduction to Data Analytics course.
Yes. This is a data analytics course for beginners and requires no prior experience. Its designed for learners starting their journey in analytics, offering clear explanations, examples, and guided exercises to build core analytical skills.
No prior experience is needed. Basic computer literacy, familiarity with spreadsheets, and a foundational understanding of math and statistics will help you follow along easily.
This course is part of the IBM Data Analyst Professional Certificate and lays the groundwork for the advanced modules that follow. It helps you build the skills necessary for more complex topics like statistical analysis, visualization, and business intelligence.
Youll learn data gathering and cleaning basics, data wrangling, statistical analysis, and visualization for beginners. Youll also understand how to use modern data platforms, databases, and dashboarding tools essential to a data analysts role.
Yes, it introduces RDBMS, NoSQL databases, data marts, data lakes, ETL, and data pipelines. Youll learn how these systems support modern data ecosystems and analytical workflows.
Yes. The course dedicates a full module to data wrangling and cleaning, focusing on tools and techniques to ensure data reliability and accuracy before analysis.
Yes. Youll apply your learning through a final project based on a real-world data scenario, allowing you to demonstrate your understanding of key concepts and analytical techniques.
Absolutely. The Introduction to Data Analytics course by SkillUp provides the essential knowledge and skills required to start your journey toward a career in data analysis.
Yes, youll learn the fundamentals of data visualization for beginners, including how to create dashboards and communicate insights effectively to both technical and non-technical audiences.
The course duration depends on your pace, but most learners complete it within a few weeks by dedicating a few hours each week to the self-paced lessons and activities.
Yes. Upon successful completion, youll receive a verified IBM Certificate that demonstrates your foundational data analytics skills and prepares you for advanced data analytics certification online programs.
Completing this course can help you pursue entry-level roles such as junior data analyst, business intelligence associate, or reporting analyst. It also opens pathways to more advanced data analytics training and professional certification.
Yes. The Introduction to Data Analytics course is designed for anyone interested in transitioning into analytics, providing an accessible start to learning data wrangling, statistical analysis, and visualization.
Unlike many beginner courses, this one offers a comprehensive overview of the modern data ecosystem, including RDBMS, NoSQL, and Big Data platforms. It also emphasizes practical, real-world learning to help you build confidence and readiness for a data analytics career.
Course Offering
Type of certificate
IBM Certificate
About this course
09 Modules
05 Skills
Includes
Discussion space
09 Practice quizzes
09 Graded quizzes
01 Final exam
01 Final Project
This course has been created by
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