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The document outlines a roadmap to becoming a data analyst, detailing the key skills required such as data cleaning, statistical knowledge, and data visualization. It provides free resources and courses for learning essential tools like Excel, SQL, and Python, along with project ideas for practical experience. Additionally, it emphasizes the importance of critical thinking and communication in effectively presenting data insights.

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0% found this document useful (0 votes)
34 views4 pages

Resources

The document outlines a roadmap to becoming a data analyst, detailing the key skills required such as data cleaning, statistical knowledge, and data visualization. It provides free resources and courses for learning essential tools like Excel, SQL, and Python, along with project ideas for practical experience. Additionally, it emphasizes the importance of critical thinking and communication in effectively presenting data insights.

Uploaded by

71002750
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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Roadmap to Become a Data Analyst with Free Resources.

Who is a Data Analyst? A data analyst is a professional who gathers, processes and analyzes data to
help organizations make informed decisions. Their role involves cleaning and organizing raw data,
identifying key metrics, and presenting their findings in a way that's easy to understand, helping
businesses solve problems and improve efficiency. A data analyst bridges the gap between raw data
and actionable business strategies.

Key Skills to Become a Data Analyst

Key skills for data analysts include:

1. Data Cleaning & Preparation: Ensuring raw data is cleaned, structured, and ready for
analysis.

2. Statistical Knowledge & Mathematics: A strong foundation in basic statistics and math to
analyze trends and patterns.

3. Data Visualization: Ability to present data insights clearly using tools like Power BI, Tableau,
or Excel.

4. Programming Languages: Proficiency in SQL, and optionally Python or R, for data querying
and manipulation.

5. Critical Thinking: The skill to analyze data, ask meaningful questions, and interpret results
effectively.

6. Communication: Clearly presenting insights and reports to both technical and non-technical
audiences.

7. Data Storytelling: Translating data into compelling narratives that drive decision-making.

8. Domain Knowledge: Understanding the business context and industry-specific knowledge to


tackle scenario-based questions and provide relevant insights.

Tools Required?

Excel: Essential for data cleaning, analysis, and creating basic reports.

SQL: Key for querying databases and extracting meaningful data.

Visualization Tools (Power BI or Tableau): Crucial for presenting data insights through interactive
visuals.

Python or R: Powerful for advanced data analysis and statistical computations.

Mathematics & Statistics: Fundamental for interpreting data trends and performing deeper analyses.

Machine Learning: Enhances data analysis by enabling predictive modeling and automation.
Excel (Duration - 1 Month)

To help you get started -


Language (Hindi) - Excel Full Course for Data Analysis with Projects [ 2 Hours] | Excel Tutorial 2024
Language (English) - MS EXCEL Full Course for Beginners in 3 HOURS (FREE) - 2024 Edition

Project - EXCEL Full PROJECT for Data Analysis with Practical [2 Hours] | End-to-End Excel
Dashboard Project

Excel Practice - https://excelexercises.com/

SQL (Duration - 2 Months)

To help you get started -

Language (Hindi) - SQL Full Course for Data Analytics in 1 HOUR 🔥| Learn SQL for Beginners (2024)

Language (English) - MySQL for Data Analytics Full Course with Practical [2024] | Learn MySQL in
English

Practice SQL Questions on these websites-

https://www.hackerrank.com/

https://sqlzoo.net/wiki/SQL_Tutorial

https://datalemur.com/

https://leetcode.com/

SQL Project -

SQL For Data Analysis Full Portfolio Project with Practical [1Hour] | End-to-End SQL Project 2024

Visualization (Duration - 1-1.5 Months)

To help you get started with Power BI -

Power BI Full Course in 6 Hours | Learn Power BI for Beginners with Project - 2024 Edition

Project Ideas - https://www.projectpro.io/article/power-bi-microsoft-


projects-examples-and-ideas-for-practice/533

DAX Formulas - Dax formulas wscube.pdf


Maths and Stats (Duration - 2 weeks) - ChatGPT

Descriptive Statistics: Mean, median, mode, standard deviation, and variance for summarizing data.

Probability: Basic probability concepts, distributions, and conditional probability.

Inferential Statistics: Hypothesis testing, confidence intervals, and p-values for drawing conclusions
from data samples.

Linear Algebra: Useful for data manipulation, especially in machine learning algorithms.

Correlation & Regression: Understanding relationships between variables and predicting outcomes.

Time Series Analysis: For analyzing data over time and identifying trends.

Python (Duration - 1-2) Months

To help you get started - Data Analytics FULL Course for Beginners to Pro in 29 HOURS - 2024
Edition
Till 13:28:44

Questions for Logic Building in Python - 100+ Python Programs with Practicals for Beginners 🔥🐍

Pandas Practice Questions - https://leetcode.com/

Data Cleaning in Python - Data Cleaning Full Course for Data Science, Data Analysis, Machine
Learning [FREE] - 2024 Edition

Project - Complete Data Analytics Portfolio Project with Python and SQL in 2 Hours | 2024 Guide

For more in-depth knowledge, Join our DATA ANALYTICS MENTORSHIP PROGRAM -
Apply Now and Get 40% off for First 50 Seats - https://www.wscubetech.com/data-analytics-course?
utm_source=wscubetech_website&utm_medium=youtube_ANN&utm_campaign=DAMP_Cohort_2_
Sep

Thank You

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