What You'll Learn
- Python Basics: A solid foundation in Python programming, including data types, loops, conditionals, functions
- Understanding Lists are different from arrays
- NumPy Fundamentals: Understanding the NumPy library to efficiently work with arrays, matrices, and perform mathematical operations.
- Pandas Essentials: Exploring the Pandas library in-depth, covering Series and DataFrames, data importing/exporting, data cleaning, filtering, sorting, grouping
Requirements
- Python Programming
Who This Course is For
- Beginners in Data Analysis: Individuals who are new to data analysis and want to build a strong foundation in Python programming, data manipulation, and analysis techniques.
- Data Enthusiasts: Anyone interested in working with data, regardless of their professional background, such as business professionals, marketers, researchers, and students.
- Aspiring Data Scientists: Individuals aiming to become data scientists or analysts, looking to acquire essential skills in data manipulation, cleaning, and visualization.
- Business Analysts: Professionals involved in business analysis, market research, or decision-making who want to enhance their ability to extract insights from raw data.
- Students and Researchers: Students studying various disciplines, including sciences, social sciences, economics, and more, who need to work with data for their studies or research.
- Professionals Upgrading Skills: Professionals in programming, IT, or related fields looking to expand their skill set to include data manipulation using Python, NumPy, and Pandas.
- Entrepreneurs: Individuals who run businesses and want to leverage data to make informed decisions, identify trends, and gain a competitive edge.
- Self-Learners: Those who enjoy self-paced learning and are eager to develop practical skills in data manipulation to enhance their career prospects.
Your Instructor
Toppers Bootcamp
Udemy's Best Instructors
4.3 Instructor Rating
12,237 Reviews
334,617 Students
42 Courses
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