Master the skills to drive data-driven decisions and advance.
Learn Data Analysis with Python and Excel and open doors to exciting careers!
Course Overview.
Preparing for a job interview in Data Analysis with Python and Excel requires a mix of technical proficiency, problem-solving skills, and effective communication.
Python:
Statistical Analysis: Know basic statistical concepts and how to implement them in Python.
Data Manipulation: Understand how to use libraries like Pandas and NumPy.
Data Visualization: Be familiar with Matplotlib and Seaborn for creating visualizations.
Data Cleaning: Practice handling missing data, outliers, and data transformations.
Excel:
Macros: Have a basic understanding of how to record and use macros.
Data Analysis Tools: Be proficient in using PivotTables, VLOOKUP, and data filtering.
Formulas and Functions: Master essential functions like SUM, AVERAGE, INDEX, MATCH, and logical functions.
Data Visualization: Know how to create charts, graphs, and conditional formatting.
Become a Customer Analytics Specialist, Data Analyst, Data Scientist, Data Visualization Expert, Web Analyst, Business Analyst, or Machine Learning Expert.
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