This roadmap contains 14 Chapters that can be completed in 8 weeks, whether you are a fresher in the field or an experienced non-tech professional who wants to transition into Data Analytics.

👋 Hi, I’m Himanshu Ramchandani - a Data & Engineering Consultant from India 🇮🇳

Data Analyst - Roles and Responsibilities

Common Questions and Answers in Data Analytics

Who is this course for?📝

• professionals from business backgrounds, such as marketing, finance, operations, or human resources, who want to develop data analytics skills to enhance their decision-making
• professionals with a non-technical background
• professionals who want to integrate their current knowledge with data analytics skills

Who is this course not for?🚫

• this course is not for experienced advanced professionals
• not for professionals already working as a data analyst, we will go from beginners to intermediate level

Curriculum

<aside> <img src="/icons/anchor_purple.svg" alt="/icons/anchor_purple.svg" width="40px" /> Data Analytics Path

Week 1 - Python Programming & Logic Building

1 | Python Programming

Code:

https://github.com/hemansnation/Data-Analyst-Roadmap

Week 2 - Data Analysis with Python & Pandas

2 | Understanding NumPy

3 | Exploratory Data Analysis (EDA) with Pandas

4 | Data Visualization with Matplotlib and Seaborn

Week 3 - Statistical Analysis

5 | Working with Different Types of Datasets - Projects

6 | Statistics and Statistical Models

Week 4 - Predictive Analytics and Machine Learning

7 | Machine Learning - Basics & Predictive Analytics

8 | Time Series Analysis & Forecasting

Week 5 - Database Management with SQL and Excel

9 | SQL - Structured Query Language

10 | Excel for Analyst

Week 6 - Data Storytelling, Visualization and Business Case Studies

11 | Data Storytelling with Tableau

12 | Business Case Studies & Analysis

Week 7 - Interview Preparation, Resume Building and Portfolio

13 | Data Analyst Interview

14 | Resume Resources

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