- Course Introduction 4
- Why Python?Lecture1.1
- Introduction to Google ColabLecture1.2
- Worksheet 1Lecture1.320 min
- Worksheet 1 SolutionsLecture1.418 min
- Python Fundamentals 9
- TokensLecture2.119 min
- Quiz 1Quiz2.115 questions
- Variable & AssignmentsLecture2.213 min
- Simple Input & OutputLecture2.309 min
- Quiz 2Quiz2.215 questions
- Worksheet 2.1Lecture2.4
- Worksheet 2.1 SolutionsLecture2.521 min
- Worksheet 2.2Lecture2.6
- Worksheet 2.2 SolutionsLecture2.723 min
- Data Handling 14
- Data TypesLecture3.130 min
- Quiz 3Quiz3.115 questions
- OperatorsLecture3.228 min
- Quiz 4Quiz3.215 questions
- Mutable & Immutable DataLecture3.310 min
- ExpressionsLecture3.405 min
- Working with Math ModulesLecture3.509 min
- Quiz 5Quiz3.315 questions
- Worksheet 3.1Lecture3.6
- Worksheet 3.1 SolutionsLecture3.727 min
- Worksheet 3.2Lecture3.8
- Worksheet 3.2 SolutionsLecture3.923 min
- Worksheet 3.3Lecture3.10
- Worksheet 3.3 SolutionsLecture3.1122 min
- Flow of Control 15
- IntroductionLecture4.103 min
- Types of Statements in PythonLecture4.204 min
- Statement Flow ControlLecture4.308 min
- If Statement & If-Else StatementLecture4.406 min
- Elif Statement & Nested If StatementLecture4.511 min
- Quiz 6Quiz4.115 questions
- The Range() FunctionLecture4.605 min
- Iteration/Looping StatementsLecture4.709 min
- Quiz 7Quiz4.215 questions
- Worksheet 4.1Lecture4.8
- Worksheet 4.1 SolutionsLecture4.9
- Worksheet 4.2Lecture4.10
- Worksheet 4.2 SolutionsLecture4.11
- Worksheet 4.3Lecture4.12
- Worksheet 4.3 SolutionsLecture4.13
- List Manipulation 12
- Creating and Accessing ListsLecture5.119 min
- List OperationsLecture5.208 min
- Quiz 8Quiz5.115 questions
- Making True Copy of the ListLecture5.307 min
- List Functions and MethodsLecture5.419 min
- Quiz 9Quiz5.210 questions
- Worksheet 5.1Lecture5.5
- Worksheet 5.1 SolutionsLecture5.6
- Worksheet 5.2Lecture5.7
- Worksheet 5.2 SolutionsLecture5.8
- Worksheet 5.3Lecture5.9
- Worksheet 5.3 SolutionsLecture5.10
- Dictionaries 10
- Introduction Dictionary – Key: Value PairLecture6.108 min
- Working with DictionariesLecture6.214 min
- Dictionary Functions and MethodsLecture6.304 min
- Quiz 10Quiz6.110 questions
- Worksheet 6.1Lecture6.4
- Worksheet 6.1 SolutionLecture6.5
- Worksheet 6.2Lecture6.6
- Worksheet 6.2 SolutionLecture6.7
- Worksheet 6.3Lecture6.8
- Worksheet 6.3 SolutionLecture6.9
- Functions 9
- Introduction to FunctionsLecture7.118 min
- Building Functions with PythonLecture7.213 min
- Quiz 11Quiz7.110 questions
- Worksheet 7.1Lecture7.3
- Worksheet 7.1 SolutionLecture7.4
- Worksheet 7.2Lecture7.5
- Worksheet 7.2 SolutionLecture7.6
- Worksheet 7.3Lecture7.7
- Worksheet 7.3 SolutionLecture7.8
- Working with Files 4
- Working with a Text FileLecture8.109 min
- Working with Other File FormatsLecture8.207 min
- Working with CSV FileLecture8.309 min
- Working with PDF FileLecture8.4
- Numpy 8
- Why Numpy? Numpy Array VS Python ListLecture9.108 min
- How to Use NumpyLecture9.214 min
- Basic Operations in NumpyLecture9.315 min
- Numpy 2D ArrayLecture9.408 min
- Numpy Arrays: Boolean IndexingLecture9.513 min
- Generating Random NumbersLecture9.618 min
- How Numpy is faster?Lecture9.714 min
- Statistics in NumpyLecture9.809 min
- Introduction to Pandas 9
- Intro to Pandas/Tabular DataLecture10.112 min
- Inspection of DataLecture10.213 min
- Built-in Functions, Attributes and MethodsLecture10.311 min
- Exploring DatasetLecture10.408 min
- Selecting ColumnsLecture10.517 min
- Selecting Rows with Square Brackets (not advisable)Lecture10.609 min
- Selecting Rows with iloc (position-based indexing)Lecture10.720 min
- Slicing Rows and Columns with iloc (position-based indexing)Lecture10.820 min
- Position-based Indexing Cheat SheetsLecture10.9
- Pandas Intermediate 20
- Getting started with Pandas SeriesLecture11.120 min
- Analyzing Numerical Series with unique(), nunique() and value_counts()Lecture11.2
- Analyzing non-numerical Series with unique(), nunique(), value_counts()Lecture11.3
- The copy() methodLecture11.4
- Sorting of Series and Introduction to the inplace – parameterLecture11.5
- Pandas SeriesLecture11.6
- Pandas Row Index with set_index() and reset_index()Lecture11.7
- Renaming Index & Column Labels with rename()Lecture11.8
- Sorting DataFrames with sort_index() and sort_values()Lecture11.9
- nunique() and nlargest() / nsmallest() with DataFramesLecture11.10
- Filtering DataFrames (one Condition)Lecture11.11
- Filtering DataFrames by (AND) , (OR) ConditionsLecture11.12
- Advanced Filtering with between(), isin() and ~Lecture11.13
- any() and all()Lecture11.14
- Sorting and FilteringLecture11.15
- Intro to NA Values / missing ValuesLecture11.16
- Handling NA Values / missing ValuesLecture11.17
- Exporting DataFrames to CSVLecture11.18
- Summary Statistics and AccumulationsLecture11.19
- The agg() methodLecture11.20
- Importing Financial Data from YFinance 12
- Getting Data of TESLA Stock by YFinanceLecture12.1
- Customising the Stock Data by YFinanceLecture12.2
- Stock Split and Dividends by YFinanceLecture12.3
- Exporting to CSV/ Excel File by YFinanceLecture12.4
- Importing multiples stocks and Financial Indexes Data by YFinanceLecture12.5
- Importing Currency Exchange & CryptoCurrency Data by YFinanceLecture12.6
- Importing Mutual Funds, ETFs & Treasury Yields Data by YFinanceLecture12.7
- Stock Fundamentals, Meta Info and Performance Metrics by YFinanceLecture12.8
- Financials (Balancesheet, Cashflows, P&L) by YFinanceQuiz12.10 question
- Financials (Balancesheet, Cashflows, P&L) by YFinanceLecture12.9
- Put and Call Options by YFinanceLecture12.10
- Stream Real Time data from YFinance by YFinanceLecture12.11
- Data Visualization with Matplotlib and Seaborn 8
- Visualization with MatplotlibLecture13.1
- Customization of PlotsLecture13.2
- HistogrammsLecture13.3
- ScatterplotsLecture13.4
- First Steps with SeabornLecture13.5
- Categorical Seaborn PlotsLecture13.6
- Seaborn Regression PlotsLecture13.7
- Seaborn HeatmapsLecture13.8
- Capstone Project Stock Market Data Analysis 1
- Capstone Project Stock Market Data AnalysisLecture14.1
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