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Unclaimed ProfileDesigned by Maven Analytics, this foundational course in Python for Data Analysis & Business Intelligence is perfect for data professionals, business analysts, and aspiring data scientists looking to pivot into programming. The curriculum transitions learners from absolute beginners to capable analysts by focusing on the core building blocks of base Python. Students will start by mastering essential data types, variables, loops, and custom functions within the interactive Jupyter Notebooks environment. Moving beyond theory, the course emphasizes real-world application, teaching how to handle, clean, and manipulate complex data structures like lists, tuples, and dictionaries using conditional logic and comprehensions. A key highlight is the integration of Python's Openpyxl package, allowing analysts to seamlessly bridge the gap between Python scripts and Excel worksheets. By working through hands-on business intelligence projects, students build the confidence needed to automate repetitive tasks, analyze raw datasets, and generate actionable insights. Whether you are transitioning from traditional spreadsheet tools or starting your coding journey, this course provides the practical skills required to excel in modern data analytics.
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Maven Analytics is a premier online academy dedicated to helping professionals build real-world data science, business intelligence, and artificial intelligence skills. Founded with the mission to provide practical, accessible education, Maven Analytics focuses on hands-on, project-based learning that prepares students for actual tasks they will face in the workplace. Instead of dry lectures and purely theoretical academic concepts, their curriculum is built around realistic business case studies, interactive assignments, and highly polished video tutorials. Their extensive course lineup spans crucial technologies like Python for data analysis, NumPy and Pandas, data science workflows, natural language processing, and generative AI essentials. By…Show more
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Program Overview
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Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Master the building blocks of base Python, including data types, variables, loops, functions and more
- Learn how to use Jupyter Notebooks to write, manage, and comment your Python code
- Analyze and manipulate numeric data, text strings, lists, tuples, dictionaries and sets
- Explore raw data using conditional logic, nested loops, custom functions, and comprehensions
- Use Python's Openpyxl package to read & write data to Excel worksheets
- Build solid, foundational Python skills for data analysis & business intelligence
Best For
- Business analysts transitioning from Excel to Python for more complex data tasks
- Data professionals seeking a structured foundation in Python syntax and logic
- Aspiring data scientists who need to learn how to bridge Python with Excel workflows
- Beginners looking to automate repetitive reporting and data cleanup processes
Not For
- Advanced developers seeking high-level machine learning or deep learning content
- Learners specifically looking for heavy instruction on libraries like Pandas or NumPy
- Experienced Python programmers who are already comfortable with base language fundamentals
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