in tech with
Contact a Career Advisor to enroll
Coursework and Mentorship, internship and career coaching
Just basic math and computer skills, plus English proficiency
Data Analysts help businesses make informed decisions by collecting and analyzing information to provide valuable insights. Data analysts are in demand across various industries, including retail, banking, healthcare, tech companies, marketing, consulting and more.
Most in-demand skills in 2023 according to LinkedIn
Data Analytics average salary range
Data analytics openings as of today (Indeed.com)
Join expert-led live lessons and access recordings for later viewing. Practice new skills with hands-on assignments and tests
Receive personalized feedback on your tasks and projects. Join 1:1 sessions and group calls with your tech mentor
Gain real work experience you can showcase on your resume and discuss in your job interviews. We integrate your internship into the program!
Improve your resume and LinkedIn profile and prepare for job interviews
Accelerate your job search with AI-enhanced job matching to get the most relevant job openings daily
Our graduates earn an average starting salary up to $121K per year within a few months of graduation
Vishali has over six years of experience in exploratory and statistical analysis across industries, including IT/consulting, insurance, defense, and gaming. She currently works as a Senior Analyst at Electronic Arts and has also been teaching data analysis for over a year, where her passion for sharing knowledge and empowering others shines through.
Emilio is an experienced data analytics professional who is skilled in utilizing Python, SQL, and Tableau to drive the entire data analysis workflow. He is proficient in data wrangling, storytelling, and visualization, exploratory data analysis, and applying machine learning models to large datasets. An accomplished C-level management executive, he has a a track record of success across diverse industries, disciplines, and companies of varying sizes.
Davey is a Senior Manager of Analytics at Nike, one of the three Fortune 25 companies he has worked at in his seven years in this field so far. He has primarily specialized in supply chain analytics, and his work has helped address issues related to the impacts of COVID-19 on supply chains. He's also passionate about teaching analytics to students and small business owners.
Alex is a data analytics mentor who currently also works as Chief Data Analyst at Nordea Bank. He has over eight years of experience in the field along with a strong background in finance, data engineering, and hands-on data analysis and visualization. Alex is passionate about business intelligence, data team formation, and helping people get careers in the data field.
Vishal has been working as a data analyst for over seven years in industries such as healthcare, real estate, and software development. He uses his deep love for storytelling to bring data to life, making it accessible for decision-makers. He's also passionate about mentoring and helping others unlock their potential so they can reach their goals.
Thomas began his career as a cybersecurity consultant at Mastercard and now works in the Consumer Division at Unity. He's passionate about data visualization and is always trying to find creative solutions for visualizing abstract issues with data.
Alex has over 10 years of experience creating enterprise value as a data analytics leader across industries, including financial services, automotive, live sports/events, and media. He focuses on analytical maturation, promoting data literacy organizationally, and operationalizing data in day-to-day processes. He has also mentored over 100 data analytics and data science students.
We’ll teach you the most in-demand skills of 2023, such as Python, Tableau, SQL, and Google Sheet—setting you on the fast track to landing your first job in data analytics
You'll get a business task for data analysis that you will solve during your remote, part-time internship that include conducting a demo. At the end of the internship, you will have a case study from a company to add to your portfolio
You will be working under the mentorship of a team lead - an experienced analyst who will review your results and give FEEDBACK
You will stand out amongst other candidates with work experience on your resume and will feel more confident thanks to your internship experience with a company
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I have learned about how much we interact with data on a daily basis, at home and at work. I learned how to extract data to a google sheet, clean the data, and analyze the data using key performance indicators to produce a dashboard.
For this to be the first data analysis class, you all are doing great :) I look forward to learning more from everyone.
Jaeho was wonderful! He gave me a sense of security that he would be there for me if I needed his help or advice. I greatly appreciate the support Careerist is providing for their students, and looking forward to what's to come!
Practice new skills with hands-on assignments, homework and quizzes
Practice mock job interviews with your personal Career Coach, improve your resume and LinkedIn profile
Gain resume-worthy hands-on project experience.
Join live or watch the recordings of classes with experts from Lumen and Dell
Because Careerist is fully committed to your success, we now offer a 100% money-back guarantee if you don’t land a job in tech within one year of graduation. Read the complete terms and conditions here.
Request a 1:1 call with a consultant!
The Data Analytics course is designed to be beginner-friendly, ideal for those aspiring to start and grow a career as a Data Analyst in the rapidly expanding, high-demand Data Science field. No prior experience in Data Analysis or tech is required to succeed in this program.
If you already have some background in the topics taught in this course, our program will help you consolidate your knowledge, build a comprehensive understanding of this career path, help you prepare a portfolio of seven projects, and help accelerate your job search.
You don't need any prior experience in tech or Data Analytics to enroll in this course — it's tailored for beginners. To ensure a smooth learning experience, we recommend:
The current market imposes high expectations on junior-level Data Analysts. They must be adept at Python and SQL, proficient with visualization tools, and have a solid understanding of statistics. These diverse programs and skills require a significant investment of time to master. We have carefully curated the most essential elements in our program to provide a comfortable learning pace, estimating 8-15 hours of study per week. Our immersive 7½ months course duration also includes job search preparation, assisting you with resume, LinkedIn profiles, and interview techniques.
We've conducted a comprehensive analysis of over 23,000 job openings and interviewed experts to determine the most valuable skills and tools for an aspiring Data Analyst. SQL, Python, Tableau, and Google Sheets are among the top 5 most in-demand skills and tools for Data Analysis.
Though the program is designed to be beginner-friendly, it does require dedication. We start with basic concepts and gradually introduce more complex knowledge and tasks. This includes working with spreadsheets, analyzing numbers, learning programming languages (SQL, Python), and mastering visualization tools. But don't worry—you'll receive constant guidance and feedback from our team of instructors and Tech Mentors throughout your journey.
Throughout your training, you'll receive support from various experts:
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