Learn all the skills you need to become a job-ready data analyst
Intro to Data Analytics
Learn how to prepare and analyze data: Develop critical skills to interpret business requirements that guide your data analysis.
Preparing and Analyzing Data: Learn how to interpret business requirements to guide your data analysis and begin developing and designing your data project.
Data Visualization & Storytelling: Explore the different types of data visualizations and what they can be used for, as well as some basic visual design principles to ensure the visualizations you create are accessible and easily interpretable.
Databases & SQL for Analysts: Develop database-querying skills while mastering SQL, the industry-standard language for performing these tasks in the real world.
Python Fundamentals for Data Analysts: Get to grips with Python, the go-to language used by data analysts to conduct advanced analyses.
Exploratory Data Analysis & Dashboards: Learn the different stages of exploratory data analysis and how to create interactive dashboards.
Data Mining & Ethics: Consider issues of data bias, data privacy, and data security. Then get introduced to the worlds of big data analysis, machine learning, and data mining.
- B2 level in written and spoken English
- A computer (Mac, PC)
- An internet connection
"I found the curriculum excellent. Even from before the course itself began, I found the course prep section really helpful. I really liked that there was a great balance between theory and practical applications and really have to congratulate on the structure of the course, building as it does from an intro to the tools and moving onward on each task to more complex themes. The platform I found really easy to use, intuitive and nicely designed."
Build an impressive portfolio of work
Throughout the program, you'll have the opportunity to create several presentations showcasing your learning.
Impress your future employers with a wide variety of examples of your work, all hand-picked and polished under the careful eye of your mentor.
Follow a flexible pace
There are no live tutorials or webinars and you’re not required to be online at specific times. You'll have access to the course material in written form along with supplementary videos, and you'll work through the lessons in your own time, with your tutor and mentor reviewing them as you go.
Work towards project milestones
Your daily/weekly schedule might differ due to the variety of your coursework and your other commitments. Even though the program is flexibly paced, you still have a 8-month deadline with interim milestones.
Get support & accountability
Both our own research and the advice we receive from former students tell us that the key to doing well and completing the program on time is submitting tasks regularly. We'll help you stay on track by providing you with a progress and time meter, plus regular check-ins from your dedicated student advisor. If you need to take a break for vacation or sick days, this can be discussed with your student advisor—they're always there to help!
"I liked that my mentor provided the type of pushback that a supervisor in a real job would when reviewing my work. He held me to a high standard because he could see my potential."
Meet your dedicated team
A mentor is a data analyst with over 5 years’ experience. They will conduct detailed video reviews of each presentation piece you complete throughout the program. You can schedule as many calls as you want with your mentor via our platform's built-in calendar tool, ensuring you get support when you need it.
Tony, one of our mentors
A tutor is a program expert who is there to answer your questions on a day-to-day basis. They will also provide actionable, written feedback on your assignments within 24 hours.
Maysoon, one of our Tutors
Your student advisor ensures you have the best possible learning experience. Ask them about your overall timeline, billing, or getting general help.
Once you are halfway through the program, your career specialist will step in to help you devise a job-search strategy. With their expert guidance, you’ll refine both your resumé and portfolio, optimize your LinkedIn profile, and prepare for job interviews.
You’ll join a highly motivated and supportive community of fellow CareerFoundry data analytics students. You will be able to get in contact with other students from your area while gaining a global network of future data analysts.
"I think one of the most important parts of the CF program is the unified community of like-minded individuals all in the middle of bettering themselves and working on their own career change. It creates this social web of support where anyone can reach out at any time for help. I started out new and overwhelmed at first, but seeing how supportive everyone was then and now is definitely something that I really appreciate. I’ve made a lot of tangible connections and friends with current students and past alumni this way and see tremendous value in it."
Find out if the program is right for you
Take the free 5-Day Data Analytics Short Course to get started, or get in touch with our program advisors for a free consultation. You’ll learn:
- How you can go from beginner to a data analyst with a job you love
- What the data analytics job market is like in your area and the salary you can expect
- If data analytics is the best fit for you based on your background and interests
Don’t worry—you won’t be pressured into making a commitment. The goal is to ensure you make a fully informed decision.
Curious about this program?
Contact us to find out if it’s right for you
“How would you like to get in touch?”
“I’m here to help you become a data analyst”
Alana, Senior Program Advisor
What questions do you have about the program? We're happy to help.
Our program advisor will be in touch with you shortly.