Certification Course-Complete Data Analyst Bootcamp From Basics To Advanced-71+ hours

Master Data Analysis: Python, Statistics, EDA, Feature Engineering, Power BI, and SQL Server in Comprehensive Bootcamp

What you'll learn

• Learn how to efficiently manipulate, analyze, and visualize data using Python and its powerful libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
• Develop the skills to retrieve, manipulate, and aggregate data using SQL. You'll work with SQL Server to manage complex databases and execute advanced queries.
• Discover how to perform EDA to uncover insights, identify patterns, and prepare data for further analysis through effective data visualization
• Learn to build interactive and insightful dashboards using Power BI, applying DAX for complex calculations, and integrating real-world data to produce reports

1. Python Programming for Data Analysis: Learn Python fundamentals, including data types and control structures, and manipulate data using libraries like Pandas and NumPy for complex analyses.
2. Statistics for Data Science: Build a strong foundation in statistics, covering topics like descriptive statistics, probability, hypothesis testing, and inferential statistics to make data-driven decisions.
3. Feature Engineering and Data Preprocessing: Master data preparation techniques, including handling missing data, encoding categorical variables, feature scaling, and selection to enhance model performance.
4. Exploratory Data Analysis (EDA): Explore data sets, identify trends and outliers, and use visualization tools like Matplotlib and Seaborn for insightful data analysis.
5. SQL for Data Analysts: Learn SQL from basics to advanced techniques for data retrieval, manipulation, and aggregation using SQL Server, crucial for handling large datasets.
6. Power BI for Data Visualization and Reporting: Gain expertise in Power BI to create dashboards, perform data transformations, and use DAX for complex calculations, culminating in professional-grade reports.
7. Real-World Capstone Projects: Apply your skills on real-world datasets, performing end-to-end data analysis from cleaning to visualization, preparing you for industry challenges.

Who Should Enroll:

• Aspiring data analysts looking to build a comprehensive skill set.
• Professionals switching careers to data analysis.
• Data enthusiasts wanting hands-on experience with Python, SQL, and Power BI.
• Students and recent graduates seeking to enhance job prospects in data science.

Why This Course?

• Comprehensive Curriculum: Covers Python, statistics, SQL, and Power BI to make you job-ready.
• Hands-On Learning: Work on real-world projects that replicate industry challenges.
• Industry-Relevant Tools: Learn in-demand tools like Python, SQL Server, and Power BI.
• Career Support: Access resources and guidance to kickstart or advance your career as a data analyst.

Discount Offer : Course Link