Data Analyst Roadmap - by Ali Ahmad

 Referred Link - 

https://www.linkedin.com/feed/update/urn:li:activity:7214423515393900544

RoadMap to Become a Data Analyst!

1. Mathematics and Statistics
Descriptive & Inferential Statistics
Probability Theory & Hypothesis Testing
Linear Algebra & Calculus

2. Python
Basics: Syntax, Data Types, Control Structures
Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Plotly, TensorFlow, PyTorch
Data Visualization & Analysis

3. SQL
Basics: SELECT, INSERT, UPDATE, DELETE
Joins, Subqueries, Window Functions
Indexing, Optimization, Database Management

4. Data Wrangling
Data Cleaning & Transformation
Handling Missing Values & Normalization
Data Merging & Joining

5. Data Visualization
Python Libraries: Matplotlib, Seaborn, Plotly, Bokeh, Taipy
Dashboard Tools: Tableau, Power BI, Looker

6. Machine Learning
Supervised Learning: Linear & Logistic Regression, Decision Trees, Random Forests
Unsupervised Learning: K-Means, Hierarchical Clustering
Model Evaluation: Cross-Validation, Confusion Matrix, ROC Curve

7. Soft Skills
Communication & Problem-Solving
Critical Thinking & Teamwork
Storytelling with Data & Presentation Skills
Adaptability

Tags:
hashtag#data hashtag#datascience hashtag#dataanalysis