Python Fundamentals
Master essential Python programming for data analysis, from basic concepts to advanced data manipulation, visualization, and financial applications.
Master essential Python programming for data analysis, from basic concepts to advanced data manipulation, visualization, and financial applications.
This course provides a comprehensive introduction to Python programming with a focus on data analysis and finance applications. Starting with fundamental Python concepts, students learn to create variables, manipulate different data types, and apply various operators. The curriculum then advances to data manipulation using NumPy and Pandas packages, covering techniques for loading, cleaning, transforming, and analyzing data. Students also gain skills in data visualization with Matplotlib and Seaborn to effectively communicate insights. The course culminates in a practical case study on portfolio optimization that reinforces all learned concepts. Upon completion, participants will be able to write and execute Python code, capture and transform data, explore data through statistical methods, create informative visualizations, and apply these skills to real-world financial analysis. Designed for both beginners and those looking to advance their careers in data analysis, business intelligence, or finance, this course provides essential programming skills for the data-driven professional.
Instructors:
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What you'll learn
Write and execute Python code to create variables and manipulate different types of data
Use control structures including conditional statements and loops to control program flow
Capture and transform data using NumPy and Pandas packages
Clean datasets by handling missing values, duplicates, and incorrect data
Select and filter data using various Pandas methods
Explore data through statistical analysis to identify patterns and outliers
Skills you'll gain
This course includes:
3.9 Hours PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
Batch access
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There are 8 modules in this course
This course provides a comprehensive introduction to Python programming with a focus on practical data analysis for finance professionals. It begins with Python fundamentals, teaching students about variables, data types, operators, and control structures. The curriculum then progresses to data manipulation using NumPy and Pandas, covering techniques for loading, cleaning, and transforming data. Students learn statistical analysis methods to identify patterns, outliers, and correlations in datasets. The course includes extensive training in data visualization using Matplotlib and Seaborn, teaching students to create and format histograms, box plots, line charts, bar plots, and scatter plots. All concepts are reinforced through a practical case study on portfolio optimization, where students apply their skills to analyze financial data, create an equal-weighted portfolio, visualize performance, calculate metrics like the Sharpe ratio, and identify optimal portfolio allocations through scenario analysis.
Getting Started
Module 1 · 19 Minutes to complete
Python Concepts
Module 2 · 1 Hours to complete
Loading & Cleaning Data
Module 3 · 37 Minutes to complete
Analyzing Data
Module 4 · 36 Minutes to complete
Introduction - Visualizing Data
Module 5 · 52 Minutes to complete
Case Study Introduction - Portfolio Optimization
Module 6 · 39 Minutes to complete
Course Conclusion
Module 7 · 0 Minutes to complete
Qualified Assessment
Module 8 · 1 Hours to complete
Fee Structure
Instructor
Global Finance Education Leader CFI Transforms Professional Development Through Comprehensive Training
Corporate Finance Institute (CFI), headquartered in Vancouver, Canada, has established itself as a premier global provider of online financial education and certification programs, serving over 300,000 professionals worldwide. The institute offers comprehensive training through its flagship certifications including the Financial Modeling & Valuation Analyst (FMVA), Commercial Banking & Credit Analyst (CBCA), Capital Markets and Securities Analyst (CMSA), and Business Intelligence and Data Analyst (BIDA) programs. With endorsements from global leaders like Microsoft, Amazon, IBM, and major financial institutions including Citigroup and HSBC, CFI's curriculum bridges the gap between traditional business education and practical industry requirements. The institute's commitment to excellence is reflected in its NASBA-registered CPE programs, practical skill-focused training, and its successful 2021 acquisition of Macabacus, demonstrating its ongoing evolution in serving the global finance community with cutting-edge educational resources
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