What You'll Learn
- Discover how to effectively handle, analyze, and visualize data using Python and its robust libraries, including Pandas, NumPy, Matplotlib, and Seaborn.
- Learn how to conduct Exploratory Data Analysis (EDA) to reveal insights, detect patterns, and prepare data for further analysis through effective visualization
- Acquire the skills to extract, manipulate, and aggregate data using SQL. You will utilize MySQL to handle complex databases and execute sophisticated queri
- Master the art of creating interactive and insightful dashboards using Power BI and Tableau. You'll apply DAX for complex calculations in Power BI and integrate
- Students will learn to leverage Microsoft Fabric and Power BI to create impactful data visualizations and perform advanced data analysis using lakehouse archite
- Explore the fundamentals of machine learning, including classification, regression, and time series analysis, to enhance your predictive analytics skills.
- Learn the fundamentals of ETL processes to effectively extract, transform, and load data for analysis.
Requirements
- No prior knowledge required
- A computer with internet access
- Eagerness to learn
Who This Course is For
- Complete beginners interested to learn Data Analytics can join this program
- Any Technical or Non Technical person can enroll for this program
Your Instructor
Experienced Instructor
Professional Educator
An experienced instructor with expertise in this field and a passion for teaching.
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