Data-Analyst-Roadmap for Students and Professionals

1 - Python Programming

2 - Understanding NumPy

3 - Exploratory Data Analysis (EDA) with Pandas

4 - Data Visualization with Matplotlib and Seaborn

5 - Statistics and Statistical models

6 - Working with Different Types of Datasets

7 - Structured Query Language (SQL)

8 - Data Storytelling with Tableau or PowerBI

9 - Business Acumen and working with Business Problems

10 - Machine Learning Basics & Predictive Analytics

11 - Time Series Analysis & Forecasting

12 - Business Case Studies & Analysis

We are going to need 8 Weeks to complete each topic and be ready for the job interview.

1 | Python Programming

2 | Understanding NumPy

3 | Exploratory Data Analysis (EDA) with Pandas

4 | Data Visualization with Matplotlib and Seaborn

5 | Statistics and Statistical Models

6 | Working with Different Types of Datasets

7 | SQL - Structured Query Language

8 | Data Storytelling with Tableau or PowerBI

9 | Business Acumen - Working with Business Problems

10 | Machine Learning - Basics & Predictive Analytics

11 | Time Series Analysis & Forecasting

12 | Business Case Studies & Analysis

Data Analyst Interview

Python🐍 Machine Learning🤖 Data Science🥼 Data Engineering🧑‍💻 Computer Vision🖥️ NLP🤍 Business Problems🚀