Data analytics is the process of transforming raw data into actionable insights used across industries like healthcare, finance, and retail. In this course, you'll learn how to analyze and visualize data to solve complex business problems and improve decision-making.
- Master Data Analytics with Excel & SQL: Learn to leverage Excel's advanced tools like Pivot Tables, VLOOKUP, and macros while developing essential SQL skills to retrieve, filter, and sort data from databases. Combine these skills to streamline workflows and manage large datasets.
- Automate & Visualize Data with Python & Tableau: Use Python to automate repetitive tasks such as web scraping and reporting, and then transform data into compelling visual stories using Python libraries and Tableau. Build interactive dashboards and deploy your projects to showcase analytical expertise.
- Build Machine Learning Models: Use Python to clean, balance, and analyze data with libraries like Pandas and scikit-learn. Apply machine learning algorithms to solve real-world problems, then evaluate and refine your models to ensure accurate predictions.
- Gain Expertise in Advanced Analytical Techniques: Dive deeper into data analysis by learning how to clean and interpret data using advanced statistical tools and Python libraries. Develop problem-solving skills through real-world techniques such as regression analysis, forecasting, and prescriptive analytics.