Post #2172

100 Days Data Analysis Roadmap for 2025 Daily hours: 1-2 hours. the practical application of what you learn is crucial, so allocate some time for hands-on projects and real- world applications. Days 1-10: Foundations of Data Analysis Days 1-2:Install Python, Jupyter Notebooks, and necessary libraries (NumPy, Pandas). Days 3-5: Learn the basics of Python programming. Days 6-10: Dive into data manipulation with Pandas. Days 11-20: SQL for Data Analysis Days 11-15: Learn SQL for querying and analyzing databases. Days 16-20: Practice SQL on real-world datasets. Days 21-30: Excel for Data Analysis Days 21-25: Master essential Excel functions for data analysis. Days 26-30: Explore advanced Excel features for data manipulation and visualization. Days 31-40: Data Cleaning and Preprocessing Days 31-35: Explore data cleaning techniques and handle missing data. Days 36-40: Learn about data preprocessing techniques (scaling, encoding, etc.). Days 41-50: Exploratory Data Analysis (EDA) Days 41-45: Understand statistical concepts and techniques for EDA. Days 46-50: Apply data visualization tools (Matplotlib, Seaborn) for EDA. Days 51-60: Statistical Analysis Days 51-55: Deepen your understanding of statistical concepts. Days 56-60: Learn hypothesis testing and regression analysis. Days 61-70: Advanced Data Visualization Days 61-65: Explore advanced data visualization with tools like Plotly and Tableau. Days 66-70: Create interactive dashboards for data storytelling. Days 71-80: Time Series Analysis and Forecasting Days 71-75: Understand time series data and basic analysis. Days 76-80: Implement time series forecasting models. Days 81-90: Capstone Project and Specialization Work on a practical data analysis project incorporating all learned concepts. Choose a specialization (e.g., domain-specific analysis) and explore advanced techniques. Days 91-100: Additional Tools Days 91-95: Introduction to big data concepts (Hadoop, Spark). • Days 96-100: Hands-on experience with distributed computing using Spark. Data Analytics Resources 👇👇 https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Hope this helps you 😊