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Day 31 of learning excel 💗🎀

4 weeks course outline to become a data analyst ⏬
Week 1: Data Analysis Fundamentals

Introduction to Data Analysis: Explore the role of a data analyst, the data analysis lifecycle, and common applications across industries.
Understanding Data: Learn key data concepts like data types, data quality, and data visualization basics.
Microsoft Excel: Gain proficiency in core Excel functions for data manipulation, analysis, and visualization (sorting, filtering, pivot tables, charts).
Introduction to Statistics: Grasp foundational statistical concepts like measures of central tendency (mean, median, mode) and measures of dispersion (variance, standard deviation).

Week 2: Programming for Data Analysis

Introduction to Python: Learn the basics of Python programming, including variables, data types, operators, control flow statements, and functions.
Data Manipulation with Python Libraries: Explore libraries like pandas for data loading, cleaning, wrangling, and transformation.
Data Visualization with Python Libraries: Utilize libraries like matplotlib and seaborn to create informative data visualizations (bar charts, histograms, scatter plots).

Week 3: SQL for Data Retrieval

Introduction to SQL: Understand the fundamentals of SQL (Structured Query Language) for interacting with relational databases.
Writing SQL Queries: Learn how to write SELECT, WHERE, JOIN, and GROUP BY statements to retrieve specific data from databases.
Data Exploration with SQL: Practice querying databases for real-world data analysis scenarios.

Week 4: Putting it All Together & Next Steps

Data Analysis Project: Apply the acquired skills to a mini data analysis project. This could involve finding a public dataset, cleaning and analyzing the data, and creating visualizations to answer a specific question.
Soft Skills for Data Analysts: Explore communication, problem-solving, and critical thinking skills crucial for success in data analysis roles.
Building Your Portfolio: Start building a portfolio showcasing your data analysis projects to present to potential employers.
Career Resources: Learn about data analyst career paths, job search strategies, and explore relevant online resources for cont.