Data Analysis A-Z: Become Data Analyst in 30 Days

Unlock Data Analysis with Python with ChatGPT and Excel. Master Full Work-flow and Become Pro Data Analyst in 30 Days!

Created by: Analytix AI
Unleashing the Power of Data with AI for Informed Insights.

What Will I Learn?

• Gain understanding of Python's basic syntax, data types, variables, and operators, enabling you to write simple programs and perform basic operations.
• Learn to utilize control structures like loops and conditional statements such as use if, elif and else to manage program flow effectively.
• Acquire skills in working with fundamental data structures in Python, such as lists, dictionaries, tuples, and sets.
• Learn how to manipulate, access, and modify these structures for diverse programming needs.
• Employ metrics such as counts, percentages, group by, pivot tables, correlation, and regression professionally and realistically.
• Solve more than 20 data analytical questions to practice applying data analysis to various circumstances.
• Emphasize practical application to gain valuable insights from data and create educated judgments and suggestions.
• Master Python for data analysis using industry-standard libraries and tools: pandas, numpy, scipy, scikit-learn etc.
• Master statistical inference (e.g., ANOVA, correlation, regression), draw meaningful findings, and make data-driven decisions.
• Understand and apply techniques for cleaning and preparing raw data in Excel. Learn to identify and handle missing data, outliers, and inconsistencies.
• Utilize Excel functions and tools for data validation and transformation. Explore fundamental statistical concepts and their application in Excel.
• Learn to perform descriptive statistics, inferential statistics, and hypothesis testing using Excel functions and tools.
• Learn to use PivotTables, PivotCharts, and slicers to create dynamic and user-friendly dashboards.
• Explore various data visualization techniques available in Excel, including charts, graphs.
• Design and build interactive dashboards in Excel for effective data visualization.

Requirements

• No coding Experience is Needed.
• Microsoft Excel
• Mindset to be Successful.
• Dedication to be Data Analyst.
• Intention to Learn Python.

Target audience

• Individuals looking to kickstart their career in data analysis.
• Students and recent grads in data analysis or related fields.
• Professionals aiming to boost their analytical skills.
• Decision-makers want to understand and leverage data analysis.