
Get to know the course: course objectives, audience, and the curriculum
Data analysts are in high demand, with salaries around 75,000 and a 23% growth projection through 2031. The role offers impact through data-driven decision making and varied daily challenges.
Reveal common mistakes blocking data analyst opportunities, from overemphasizing technical skills to neglecting soft skills and experience, and outline an action plan for learning and growth.
Follow the five steps of problem solving: identify and quantify the objective, break it down, analyze and select solutions, then implement and monitor with KPI-driven results.
Bridge the experience gap for aspiring data analysts by detailing day-to-day tasks, obstacles, and ways to build proven records with SQL and data visualization tools like Tableau and Power BI.
Identify common data analyst challenges, from data quality issues in the data warehouse—complete, correct, and consistent data—to time constraints, shifting business priorities, ad hoc requests, and stakeholder collaboration.
Build a data analysis portfolio using real-world datasets, clean and transform data, create dashboards, and practice turning business questions into data insights with Tableau, Power BI, or Python.
Discover three routes to enter the data analyst career without experience, internal transfer, entry-level roles, and level-matching, and learn to leverage self-learning and Tableau dashboards.
This unique course focuses on the less-known aspects of what it takes to become a Data Analyst. My journey from a marketing specialist at a startup to a Data Analyst at Meta (without any technical background/ experience) gave me a unique perspectives on what needs to be done to break into this career. My 5 year's professional Data Analyst experience helps factor real-life challenges in building the content for this course.
This course will help you:
Understand truly what it takes to become a Data Analyst
Determine for yourself whether you are a good fit for a Data Analyst job
Gain super-clarity and confidence in what you need to do become a Data Analyst
Understand the most common mistakes that prevent you from getting a Data Analyst job. Adopt the right mindset to significantly increase your success rate
Understand the biggest barrier to landing a Data Analyst job: Experience; Tackle this barrier by CREATING experience
Learn from A-Z all day-to-day tasks of a Data Analyst
Practice your critical thinking
Practice your data and numerical thinking
Practice using the problem solving framework (no. 1 skill in Data Analyst' day-to-day job)
Application Prep: Use tactical tips to build a robust Resume and increase your chance of passing the CV screening round
Application Prep: Free one-time review of your Data Analyst resume for the first 50 students within 1 year since course enrolment
Interview Prep: Prepare for your Data Analyst interviews by working on example Data Analyst case studies
Create a practical and robust action plan to land your first Data Analyst offer