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Unclaimed ProfileThis comprehensive masterclass by Maven Analytics is carefully designed for data professionals, business intelligence analysts, and aspiring data scientists looking to build a rock-solid foundation in Python's core data science libraries: NumPy and Pandas. Throughout this course, students transition from writing basic Python scripts to executing complex data manipulation pipelines. The curriculum dives deep into NumPy arrays, teaching efficient numerical operations, vectorization, and multi-dimensional array manipulation. Transitioning to Pandas, learners discover how to clean, transform, aggregate, and merge complex DataFrames with real-world datasets. Special emphasis is placed on time-series analysis and manipulating date-time objects, which are critical skills for modern business intelligence and financial forecasting. Additionally, the course guides students through data visualization using built-in plotting libraries to create line charts, histograms, and scatter plots directly from DataFrames. Whether you are aiming to automate tedious Excel tasks, prep data for machine learning models, or extract actionable business insights from SQL databases, this course provides the practical, hands-on experience needed to succeed in today's data-driven landscape.
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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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Learning format
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Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- Master the essentials of NumPy and Pandas, two of Python's most powerful data analysis packages
- Learn how to explore, transform, aggregate and join NumPy arrays and Pandas DataFrames
- Analyze and manipulate dates and times for time intelligence and time-series analysis
- Visualize raw data using plot methods and common chart options like line charts, bar charts, scatter plots and histograms
- Import and export flat files, Excel workbooks and SQL database tables using Pandas
- Build powerful, practical skills for modern analytics and business intelligence
Best For
- Business intelligence analysts looking to automate Excel workflows using Python.
- Data professionals transitioning from spreadsheets to programmatic data manipulation.
- Aspiring data scientists needing a strong foundation in Pandas and NumPy for feature engineering.
- SQL developers wanting to perform advanced data transformation and analysis in Python.
Not For
- Absolute beginners with zero prior knowledge of Python programming syntax.
- Experienced data scientists looking for advanced deep learning or artificial intelligence coursework.
- Learners seeking a generic introduction to Python without a specific focus on data analysis libraries.
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