OVERVIEW
‣ Every business area can benefit from better understanding and working with its data to make effective decisions.
‣ In this training, participants practice using data to make effective decisions for sales, product, and marketing use cases.
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Beginner-Friendly
Data Analytics
Harness Excel, SQL, and Tableau to drive powerful analysis and insights. Build confidence and credibility to apply this versatile skill set to countless jobs.
Learn more about this course
INSTRUCTOR-LED | 40 HOURS | IN-PERSON OR REMOTE
PREREQUISITES
‣ This is a beginner-friendly programme with no prerequisites.
‣ If you are new to data analysis, you will have access to three hours of pre-work to help you prepare for the course, and your Admissions producer may recommend that you take a short Excel workshop.
‣ If you already work with basic functions in Excel or have dabbled in SQL, our curriculum will enable you to perform more powerful analyses.
IDEAL FOR
‣ Digital marketers who want to improve marketing spend, gain better insights from campaign data.
‣ UX designers and product managers who want to better understand how data around card sorts or website analytics translates to user experience.
‣ HR managers who want to apply more comprehensive and validated statistical analysis to HR data.
OUTCOMES
‣ Level 1 Data Skills: Wrangle, explore, model, and communicate the results of analyses with Excel, SQL, and Tableau.
‣ Apply your skills to a final analytics project relevant to your business.
Hundreds of Premier Companies Trust GA's Data Programmes — Here Are Just a Few
Course Outline
Unit 1: Data Cleaning and Aggregation with Excel
Level-set on the analytics workflow from identifying a business problem through communicating insights and begin building wrangling skills in Excel.
Unit 2: Querying Data with SQL
Learn the benefits of working with data out of databases and continue building wrangling skills in SQL.
Unit 3: Organising Data with SQL
Deepen your ability to explore data and segment it for analysis.
Unit 4: Exploring Data in Tableau
Begin connecting data across multiple sources and practice data manipulation in Tableau.
Unit 5: Communicating Data in Tableau
Wrap up your learning by building a dashboard to demonstrate your ability to answer key business questions and provide insights through strong and interactive visualisations.
Inside Our Best-in-Class Curriculum
Real-World Portfolio Projects
Graduate with a polished capstone project, applying rigorous data analysis techniques to solve a real-world problem. Collect, clean, and analyse a data set and create a compelling presentation to share your insights.
Individualised Instructor Support
Get guidance, feedback, and more from experts who are dedicated to supporting your learning and career goals. Get individual feedback and guidance from instructors and TAs during office hours. Stay motivated and make the most of your experience with the help of GA's dedicated team.
Global Network of 100K+ Alumni
Create connections with peers that last well beyond your time in the classroom. As part of the GA alumni community, you’ll gain access to networking events and workshops to keep evolving your career for years to come.
Elite Instructors
These data analytics professionals and consultants bring in-depth experience from the field to the classroom each day, providing invaluable insights into succeeding on the job.
GA instructors* are committed to providing personalised feedback and support to help you gain confidence with key concepts and tools.
*GA instructors are subject to their availability
Frequently Asked Questions
Why are data analytics skills relevant today?
Data is an integral part of every successful business. Regardless of industry, companies need to learn how to harness data to make critical decisions. In this course, you will gain a robust and marketable skill set that can be applied to almost any industry or profession.
According to IBM, more than 2.7 million data job openings are expected in 2020, and the need for data-driven decision-makers and functional analysts will be most acute. Learning data analytics can help you advance in your current profession or explore a growing field.
What are the backgrounds of data analytics students?
Data Analytics is our best entry-level data course for professionals looking to hone analysis skills and evolve their careers. You’ll find a diverse range of students in the classroom including:
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Data analysts who want to brush up on core techniques and formalise their skill set.
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Digital marketers, sales managers, product managers, UX researchers, and others who deal with large volumes of data on a daily basis.
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Managers who need to tell compelling, data-driven stories to business stakeholders to influence decision-making.
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Career-starters looking for a practical skill set to boost their resumes.
Regardless of their backgrounds, this programme attracts students that are interested in manipulating large data sets to solve problems.
Who teaches this course?
Our instructors represent the best and brightest senior analysts from top companies like Atlassian, Capital One, and Deloitte. They combine in-depth experience as practitioners with a passion for nurturing the next generation of talent.
We work with a large pool of experienced instructors around the world.
Are there any prerequisites?
This is a beginner-friendly programme with no prerequisites. If you are new to data analysis, you will have access to three hours of pre-work to help you prepare for the course, and your Admissions producer may recommend that you take a short Excel workshop. If you already work with basic functions in Excel or have dabbled in SQL, our curriculum will enable you to perform more powerful analyses.
Our Admissions team can discuss your background and learning goals to advise if this course is a good fit for you.
What does my tuition cover?
Here are just some of the things you can expect as a GA student:
- 40 hours of expert instruction in performing defensible data analysis with Excel and SQL and communicating insights with visualization and dashboarding tools.
- 3 hours of self-paced pre-work to brush up on data wrangling in Excel before the course begins.
- Robust coursework, including expert-vetted lesson decks, lab materials, and more. Refresh and refine your knowledge throughout your professional journey as needed.
- A portfolio-ready capstone project built with support from your instructor.
- Individual feedback and guidance from instructors and TAs during office hours. Stay motivated and make the most of your experience with the help of GA’s dedicated team.
- Exclusive access to alumni discounts, networking events, and career workshops.
- A certificate of completion to showcase your new skill set on Linkedin.
- Connections with a professional network of instructors and peers that lasts well beyond the course. The global GA community can help you navigate and succeed in the data analytics field.
Will I receive a certificate?
Yes! Upon passing this course, you will receive a data analytics certificate. Thousands of GA alumni use their course certificate to demonstrate skills to employers and their Linkedin network. GA’s Data Analytics course is well-regarded by many top employers, who contribute to our curriculum and use our data courses to train their own teams.
Can I work full-time while enrolled in this course?
Yes! All of our part-time courses are designed for busy professionals with full-time work commitments.
You’ll be expected to spend time working on homework and projects outside of class each week, but the workload is designed to be manageable with a full-time job.
If you need to miss a session or two, we offer resources to help you catch up. We recommend you discuss any planned absences with your instructor.
What projects will I work on during the course?
For your capstone project, you’ll select a real-world data set for exploration and apply all of the techniques covered throughout the course to solve a problem. You’ll craft a problem statement, prepare technical documentation, and communicate findings through a stakeholder presentation. You’ll graduate with a polished, portfolio-ready project to showcase your analytical and visualisation skills. We encourage you to tackle a problem that’s related to your work or a passion project you’ve been meaning to carve out time for.
While 1-week students will concentrate on their capstone piece, 10-week students will complete two additional, smaller projects that designed to reinforce what you’ve learned in each unit. Note that the vast majority of project development will be completed outside of class.
How does this course relate to GA’s other data programmes?
Data Analytics is our best entry-level course for professionals wanting to develop analysis skills that can be applied in a wide range of business contexts.
Some Data Analytics graduates who have existing programming knowledge may go on to enrol in a Data Science course and learn more complex analysis techniques involving computation.
For those committed to a career change, the full-time Data Science Immersive programme provides the most direct pathway to data science and other advanced analytics roles.