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Python Fundamentals · LearnSpace
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Python Fundamentals

Курс от Corporate Finance Institute
Продвинутый≈ 5.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Python is the most popular programming language used for data science and is a must-know to start or advance your career in data. In this course, you will learn the most fundamental skills to write and execute Python code. We will have an overview of the basic Python concepts, which will enable you to get started with a data science project! You will see how to load, clean, analyze, and transform data with two popular Python packages: Numpy and Pandas. Then, we will demonstrate how to effectively communicate the key insights from your analysis by visualizing your data using the Matplotlib and Seaborn packages. Finally, you’ll combine these skills and put your new knowledge into practice by analyzing financial data through a case study. Upon completing this course, you will be able to: • Write and execute Python code to create variables, generate outputs, apply various operators, and manipulate different types of data • Capture and transform data using Numpy and Pandas packages • Explore data through different statistical methods to gain a deeper understanding • Visualize data to share insights using the Matplotlib and Seaborn packages • Combine and apply the skills above to analyze financial data This Python Fundamentals course is perfect for anyone who would like to build up their programming skills and use Python for data science to analyze data. This course is designed to equip anyone who desires to begin or further their career in data analysis, quantitative analysis, business intelligence, or other areas of business and finance.

Навыки, которые вы освоите

Pandas (Python Package)Data ManipulationData Visualization SoftwareNumPyData TransformationMatplotlibFinancial DataCase StudiesFinancial AnalysisData ScienceData StorytellingData WranglingData AnalysisData PresentationPlot (Graphics)SeabornExploratory Data AnalysisStatistical AnalysisStatistical MethodsData Visualization

Программа курса

8 модулей · 101 учебных материалов

01Getting Started6 материалов

Introduction

Course IntroductionВидеоInstructions to download Learner FilesВидеоDownloadable Learner FilesЧтениеInstall AnacondaВидео

Учитесь у экспертов

CFI (Corporate Finance Institute)

Преподаватель курса

Python Fundamentals
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Обучение на Coursera

≈ 5.9 ч

8 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский, Казахский

Часть программы вашего университета
Python Development EnvironmentsВидео
Jupyter Notebook OverviewВидео
02Python Concepts28 материалов

Introduction

Introduction - Python ConceptsВидео

Variables & Data Types

Variables & Data TypesВидеоAssigning VariablesВидеоPrinting VariablesВидеоReassigning VariablesВидеоBasic Data TypesВидеоWorking with StringsВидеоConvert & Combine Data TypesВидеоInteractive Exercise 1PLUGIN

Data Structures

Data StructuresВидеоListsВидеоManipulating ListsВидеоTuplesВидеоDictionariesВидеоInteractive Exercise 2PLUGIN

Operators & Functions

Operators & FunctionsВидеоMathematical OperatorsВидеоComparison OperatorsВидеоLogical OperatorsВидеоBuilt-in FunctionsВидеоPackagesВидеоInteractive Exercise 3

Conditional Statements & For Loops

Conditional Statements & For LoopsВидеоIf StatementВидеоElse & Elif StatementsВидеоFor LoopsВидеоInteractive Exercise 4PLUGIN

Summary

Summary - Python ConceptsВидео
03Loading & Cleaning Data19 материалов

Introduction

Introduction - Loading & Cleaning DataВидео

Introduction to NumPy & Pandas

Introduction to NumPy & PandasВидеоNumPy ArraysВидеоOperations with NumPy ArraysВидеоPandas SeriesВидеоOperations with Pandas SeriesВидеоPandas DataFrameВидео

Loading Data

Loading DataВидеоGenerating Data with NumPy arange()ВидеоGenerating Data with NumPy random()ВидеоImporting External Data with PackagesВидеоImporting External .CSVВидео

Cleaning Data

Cleaning DataВидеоChanging Data TypesВидеоCleaning Missing DataВидеоCleaning Duplicate DataВидеоCleaning Incorrect Data & ExportingВидео

Exercise - Loading & Cleaning Data

Loading & Cleaning Data ExerciseВидеоLoading & Cleaning Data Exercise ReviewВидео
04Analyzing Data16 материалов

Introduction - Analyzing Data

Introduction - Analyzing DataВидео

Transforming Data

Transforming DataВидеоSelecting Data from a DataFrameВидеоSelecting Data with loc() & iloc()ВидеоSelecting Data with a Conditional StatementВидеоAdding & Removing Data from a DataFrameВидеоCreating a New IndexВидеоGrouping DataВидеоConcatenating DataFramesВидео

Statistical Analysis

Statistical AnalysisВидеоDescribing Single Variable StatisticsВидеоCalculating a Z-scoreВидеоIdentifying OutliersВидеоMeasuring CorrelationВидео

Exercise - Analyzing Data

Analyzing Data ExerciseВидеоAnalyzing Data Exercise ReviewВидео
05Introduction - Visualizing Data18 материалов

Introduction - Visualizing Data

Introduction - Visualizing DataВидео

Visualizing Data for Exploratory Analysis

Visualizing Data for Exploratory AnalysisВидеоBuilding the DataFrames to VisualizeВидеоUpdating the DataFrames to VisualizeВидеоCreating HistogramsВидеоCreating Box PlotsВидеоCreating a PairplotВидеоCreating a Correlation Matrix HeatmapВидео

Visualizing Data for Sharing Insights

Visualizing Data for Sharing InsightsВидеоRebuilding the DataFrames to VisualizeВидеоCreating Line ChartsВидеоFormatting Line ChartsВидеоCreating Bar PlotsВидеоFormatting Bar PlotsВидео

Exercise - Visualizing Data

Visualizing Data ExerciseВидеоVisualizing Data Exercise ReviewВидео
06Case Study Introduction - Portfolio Optimization12 материалов

Case Study Introduction - Portfolio Optimization

Case Study Introduction - Portfolio OptimizationВидеоImport Packages & Connect to DataВидеоCreate the Equal-Weighted PortfolioВидеоVisualize the Portfolio PerformanceВидеоCalculate Performance Metrics for the PortfolioВидеоCalculate the Sharpe Ratio for the PortfolioВидеоPrepare Scenarios to Optimize Portfolio WeightingВидеоBuild the Portfolio ScenariosВидеоGenerate the Portfolio ScenariosВидеоIdentify the Optimal PortfolioВидеоVisualize the Optimal Portfolio & Portfolio ScenariosВидеоCase Study Summary - Portfolio OptimizationВидео
07Course Conclusion1 материалов

Course Conclusion

Course SummaryВидео
08Qualified Assessment1 материалов

Qualified Assessment

Qualified AssessmentЗадание
PLUGIN
Creating Scatter PlotsВидео
Formatting Scatter PlotsВидео