I have learned a lot about data analytics and machine learning. Here’s what I have done:1. Data Cleaning:Learned how to clean data and fix missing values using simple math and statistics.2. SQL:Learned basic commands like SELECT, INSERT, DELETE, and how to use conditions to filter data.3. Data Visualization:Learned to create charts and graphs using Matplotlib, Power BI, and Tableau.Used Excel for better data analysis.4. Data Analysis with Python:Learned how to import and analyze data using NumPy.5. Machine Learning:Learned algorithms like Random Forest and K-Means for predictions and grouping data.Practiced how to train models and make them useful for solving real problems.I now know how to turn raw data into clear insights and use it to make smart decisions.

I have gained valuable knowledge and hands-on experience in data analyst and machine learning. Here's an overview of what I’ve learned:1. Data Cleaning and PreparationDeveloped skills to clean messy datasets and handle missing values using simple math and statistical techniques.2. SQL FundamentalsMastered core SQL commands like SELECT, INSERT, and DELETE.Learned to apply conditions to efficiently filter and organize data.3. Data VisualizationCreated meaningful visualizations using tools like Matplotlib, Power BI, and Tableau.Leveraged Excel for analyzing and summarizing data.4. Data Analysis with PythonGained proficiency in importing and analyzing datasets using Python libraries like NumPy.5. Machine LearningExplored algorithms such as Random Forest and K-Means, applying them for predictions and clustering.Built and trained models to solve real-world challenges effectively.With these skills, I am now capable of transforming raw data into actionable insights and supporting smarter, data-driven decisions.