Data Analyst
Current.Understand techniques for cleaning and preparing data, including handling missing values, outliers, and data imputation.. Data Exploration and Descriptive Statistics explored data using summary statistics, visualizations, and graphs to gain insights and identify patterns.. Develop skills in creating informative and compelling data visualizations using tools like tableau, looker studio.. Gain proficiency in statistical analysis, hypothesis testing, and other analytical methods to draw meaningful conclusions from data.. SQL and Database Management to retrieve and manipulate data stored in relational databases.. Programming Languages Develop coding skills in programming languages commonly used in data analysis, such as Python or R. . Data Wrangling and Transformation: Learn techniques for reshaping and transforming data to prepare it for analysis and modeling. . Data Storytelling and effectively communicate data insights to non-technical stakeholders through reports, presentations, and data storytelling. . Gained knowledge of Data Analysis Tools and Software such as Jupyter Notebooks, Excel, and data visualization platforms, SQLite. . Work on hands-on projects that simulate real-world data analysis scenarios, allowing you to apply your skills to practical problems.