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Learn Data Analysis in 10 days

Spreadsheets, basic statistics, data cleaning, SQL fundamentals, and business metrics.

  • Daily plan, 45-60 min a day
  • 10 lessons + 30 exercises
  • AI tutor included
duration10-day sprint
Topics10 total
Exercises30 total
levelBeginner
  • No prior coding experience required
  • Practice tasks every day
  • Build impressive portfolio project

What you will learn

A powered by mentors Beginner plan with structured subtopics, quizzes, and practice tasks.

01Foundation

What data analysts actually do

Understand the analyst role, the types of questions it answers, and how analysis drives decisions.

02Foundation

Working with spreadsheets and tables

Organize, filter, and summarize data in spreadsheets using formulas and pivot tables.

03Foundation

Numbers, averages, and basic statistics

Calculate mean, median, mode, range, and standard deviation to describe datasets.

04Foundation

Data types, formats, and sources

Recognize structured vs unstructured data and understand common data formats and sources.

05Core

Cleaning and preparing data

Handle missing values, duplicates, inconsistent formats, and outliers before analysis.

06Core

Charts, graphs, and basic visualization

Choose the right chart type and build clear visuals that communicate findings.

07Core

Introduction to SQL for analysts

Write SELECT queries, filter rows, sort results, and aggregate data with GROUP BY.

08Core

Business metrics and KPIs

Learn what DAU, retention, conversion rate, LTV, and churn actually measure.

09Core

Reading and interpreting results

Spot misleading charts, avoid common errors, and draw defensible conclusions from data.

10Challenge

Mini project: analyst report

Analyze a real dataset, build a simple dashboard, and write a clear findings summary.

See the quiz + practice flow

Three answered questions and a filled code task so you know exactly what to expect.

Quiz preview

2/3 correct

1. How long is the Data Analysis plan?

Correct
10-day sprint
5-day sprint
7-day sprint
14-day sprint

2. What level is this Data Analysis plan?

Incorrect
Beginner
Intermediate
Advanced
Expert

3. Which of these appears in the Data Analysis outline?

Correct
What data analysts actually do
Data Analysis workflow playbook
Data Analysis best-practice checklist
Data Analysis case study

Code practice preview

Submitted

Format a lesson title

Build a helper that formats a lesson label with a padded index and title.

Loved by Lifelong Learners

See how students, professionals, and forward-thinkers are upgrading their minds with Kavka.

“I had no idea where to start with data. This plan gave me a clear path and I actually finished it.”

Priya M.aspiring data analyst

“The practice tasks felt like real work, so the lessons actually stuck.”

Miguel TorresBackend Engineer

“Thirty minutes a day and I was shipping again. The structure keeps me honest.”

Emily ChenUX Designer

Think like an analyst in 10 days

Spreadsheets, SQL basics, data cleaning, business metrics, and a real analyst report — structured for complete beginners.

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