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Course Introduction 4
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Why Python?Lecture1.1
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Introduction to Google ColabLecture1.2
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Worksheet 1Lecture1.320 min
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Worksheet 1 SolutionsLecture1.418 min
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Python Fundamentals 10
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Python Character SetLecture2.108 min
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TokensLecture2.219 min
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Quiz 1Quiz2.115 questions
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Variable & AssignmentsLecture2.313 min
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Simple Input & OutputLecture2.409 min
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Quiz 2Quiz2.215 questions
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Worksheet 2.1Lecture2.5
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Worksheet 2.1 SolutionsLecture2.621 min
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Worksheet 2.2Lecture2.7
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Worksheet 2.2 SolutionsLecture2.823 min
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Data Handling 14
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Data TypesLecture3.130 min
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Quiz 3Quiz3.115 questions
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OperatorsLecture3.228 min
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Quiz 4Quiz3.215 questions
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Mutable & Immutable DataLecture3.310 min
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ExpressionsLecture3.405 min
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Working with Math ModulesLecture3.509 min
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Quiz 5Quiz3.315 questions
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Worksheet 3.1Lecture3.6
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Worksheet 3.1 SolutionsLecture3.727 min
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Worksheet 3.2Lecture3.8
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Worksheet 3.2 SolutionsLecture3.923 min
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Worksheet 3.3Lecture3.10
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Worksheet 3.3 SolutionsLecture3.1122 min
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Flow of Control 15
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IntroductionLecture4.103 min
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Types of Statements in PythonLecture4.204 min
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Statement Flow ControlLecture4.308 min
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If Statement & If-Else StatementLecture4.406 min
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Elif Statement & Nested If StatementLecture4.511 min
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Quiz 6Quiz4.115 questions
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The Range() FunctionLecture4.605 min
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Iteration/Looping StatementsLecture4.709 min
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Quiz 7Quiz4.215 questions
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Worksheet 4.1Lecture4.8
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Worksheet 4.1 SolutionsLecture4.9
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Worksheet 4.2Lecture4.10
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Worksheet 4.2 SolutionsLecture4.11
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Worksheet 4.3Lecture4.12
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Worksheet 4.3 SolutionsLecture4.13
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List Manipulation 12
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Creating and Accessing ListsLecture5.119 min
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List OperationsLecture5.208 min
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Quiz 8Quiz5.115 questions
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Making True Copy of the ListLecture5.307 min
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List Functions and MethodsLecture5.419 min
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Quiz 9Quiz5.210 questions
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Worksheet 5.1Lecture5.5
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Worksheet 5.1 SolutionsLecture5.6
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Worksheet 5.2Lecture5.7
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Worksheet 5.2 SolutionsLecture5.8
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Worksheet 5.3Lecture5.9
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Worksheet 5.3 SolutionsLecture5.10
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Dictionaries 10
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Introduction Dictionary – Key: Value PairLecture6.108 min
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Working with DictionariesLecture6.214 min
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Dictionary Functions and MethodsLecture6.304 min
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Quiz 10Quiz6.110 questions
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Worksheet 6.1Lecture6.4
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Worksheet 6.1 SolutionLecture6.5
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Worksheet 6.2Lecture6.6
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Worksheet 6.2 SolutionLecture6.7
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Worksheet 6.3Lecture6.8
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Worksheet 6.3 SolutionLecture6.9
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Functions 9
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Introduction to FunctionsLecture7.118 min
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Building Functions with PythonLecture7.213 min
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Quiz 11Quiz7.110 questions
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Worksheet 7.1Lecture7.3
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Worksheet 7.1 SolutionLecture7.4
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Worksheet 7.2Lecture7.5
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Worksheet 7.2 SolutionLecture7.6
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Worksheet 7.3Lecture7.7
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Worksheet 7.3 SolutionLecture7.8
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Working with Files 4
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Working with a Text FileLecture8.109 min
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Working with Other File FormatsLecture8.207 min
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Working with CSV FileLecture8.309 min
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Working with PDF FileLecture8.4
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Numpy 12
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Why Numpy? Numpy Array VS Python ListLecture9.108 min
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How to Use NumpyLecture9.214 min
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Basic Operations in NumpyLecture9.315 min
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Numpy 2D ArrayLecture9.408 min
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Numpy Arrays: VectorizationLecture9.5
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Numpy Arrays: Indexing and SlicingLecture9.6
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Numpy Arrays: Shape and DimensionsLecture9.7
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Numpy Arrays: Indexing and Slicing of multi-dimensional ArraysLecture9.8
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Numpy Arrays: Boolean IndexingLecture9.9
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Generating Random NumbersLecture9.10
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Performance IssuesLecture9.11
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Case Study: Numpy vs. Python Standard LibraryLecture9.12
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Introduction to Pandas ( To Be Released ) 9
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Intro to Pandas/Tabular DataLecture10.1
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Inspection of DataLecture10.2
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Built-in Functions, Attributes and MethodsLecture10.3
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Exploring DatasetLecture10.4
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Selecting ColumnsLecture10.5
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Selecting Rows with Square Brackets (not advisable)Lecture10.6
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Selecting Rows with iloc (position-based indexing)Lecture10.7
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Slicing Rows and Columns with iloc (position-based indexing)Lecture10.8
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Position-based Indexing Cheat SheetsLecture10.9
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Pandas Intermediate ( To Be Released ) 20
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Getting started with Pandas SeriesLecture11.1
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Analyzing Numerical Series with unique(), nunique() and value_counts()Lecture11.2
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Analyzing non-numerical Series with unique(), nunique(), value_counts()Lecture11.3
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The copy() methodLecture11.4
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Sorting of Series and Introduction to the inplace – parameterLecture11.5
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Pandas SeriesLecture11.6
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Pandas Row Index with set_index() and reset_index()Lecture11.7
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Renaming Index & Column Labels with rename()Lecture11.8
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Sorting DataFrames with sort_index() and sort_values()Lecture11.9
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nunique() and nlargest() / nsmallest() with DataFramesLecture11.10
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Filtering DataFrames (one Condition)Lecture11.11
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Filtering DataFrames by (AND) , (OR) ConditionsLecture11.12
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Advanced Filtering with between(), isin() and ~Lecture11.13
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any() and all()Lecture11.14
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Sorting and FilteringLecture11.15
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Intro to NA Values / missing ValuesLecture11.16
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Handling NA Values / missing ValuesLecture11.17
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Exporting DataFrames to CSVLecture11.18
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Summary Statistics and AccumulationsLecture11.19
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The agg() methodLecture11.20
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Importing Financial Data from YFinance ( To Be Released ) 12
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Getting Data of TESLA Stock by YFinanceLecture12.1
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Customising the Stock Data by YFinanceLecture12.2
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Stock Split and Dividends by YFinanceLecture12.3
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Exporting to CSV/ Excel File by YFinanceLecture12.4
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Importing multiples stocks and Financial Indexes Data by YFinanceLecture12.5
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Importing Currency Exchange & CryptoCurrency Data by YFinanceLecture12.6
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Importing Mutual Funds, ETFs & Treasury Yields Data by YFinanceLecture12.7
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Stock Fundamentals, Meta Info and Performance Metrics by YFinanceLecture12.8
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Financials (Balancesheet, Cashflows, P&L) by YFinanceQuiz12.10 question
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Financials (Balancesheet, Cashflows, P&L) by YFinanceLecture12.9
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Put and Call Options by YFinanceLecture12.10
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Stream Real Time data from YFinance by YFinanceLecture12.11
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Data Visualization with Matplotlib and Seaborn ( To Be Released ) 8
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Visualization with MatplotlibLecture13.1
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Customization of PlotsLecture13.2
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HistogrammsLecture13.3
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ScatterplotsLecture13.4
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First Steps with SeabornLecture13.5
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Categorical Seaborn PlotsLecture13.6
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Seaborn Regression PlotsLecture13.7
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Seaborn HeatmapsLecture13.8
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Capstone Project Stock Market Data Analysis ( To Be Released ) 1
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Capstone Project Stock Market Data AnalysisLecture14.1
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