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Course content
Sections:
1
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Activities:
1
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Resources:
269
- Announcements
- 001 Course Overview and how to maximize your learning success XDxi gitir
- 002 Tips How to get the most out of this Course dont skip V5jz gitir
- 003 Did you know that azUz gitir
- 005 Installation of Anaconda 4Qml gitir
- 006 Opening a Jupyter Notebook tEX6 gitir
- 007 How to use Jupyter Notebooks 4DNB gitir
- 008 Downloads Get all Course Materials here UPD NOV 24 0AsE gitir
- 009 Intro to Tabular Data Pandas 6BHj gitir
- 011 Introduction ukqT gitir
- 012 Coding assistance for Pandas Coding using GPT 3 5 GPT 4o mini free Mtk7 gitir
- 013 Pandas Data Analysis using GPT 4 GPT 4o Plus Subscription A259 gitir
- 014 Create your very first Pandas DataFrame from csv 2nXo gitir
- 016 How to read CSV files from other Locations vKji gitir
- 017 Pandas Display Options and the methods head tail JGu7 gitir
- 018 First Data Inspection 2qFK gitir
- 020 Built in Functions Attributes and Methods with Pandas O8CJ gitir
- 021 Make it easy TAB Completion and Tooltip 9JwQ gitir
- 023 Explore your own Dataset Jupyter Coding Exercise 1 Intro oHEH gitir
- 024 Explore your own Dataset Jupyter Coding Exercise 1 Solution gRJd gitir
- 025 Selecting Columns KAxO gitir
- 026 Selecting one Column with the dot notation 0A4v gitir
- 028 Zero based Indexing and Negative Indexing OetW gitir
- 029 Selecting Rows with iloc position based indexing PkBb gitir
- 030 Slicing Rows and Columns with iloc position based indexing ZrUI gitir
- 034 Selecting Rows with loc label based indexing t7ie gitir
- 035 Slicing Rows and Columns with loc label based indexing z6B0 gitir
- 039 Indexing and Slicing with reindex VKPR gitir
- 040 Summary Best Practices and Outlook qsQD gitir
- 042 Jupyter Coding Exercise 2 Intro 0Ott gitir
- 043 Jupyter Coding Exercise 2 Solution TkV0 gitir
- 044 NEW Coding Exercises with ChatGPT lEx6 gitir
- 045 Advanced Indexing and Slicing optional lZsX gitir
- 046 Introduction C12P gitir
- 047 Test your debugging skills bYTc gitir
- 048 Major reasons for Coding Errors fGIs gitir
- 049 The most commonly made Errors at a glance Gfms gitir
- 050 Omitting cells changing the sequence and more nAij gitir
- 051 IndexErrors QaaN gitir
- 052 Indentation Errors u2hd gitir
- 053 Misuse of function names and keywords 6Fpz gitir
- 054 TypeErrors and ValueErrors Nare gitir
- 055 NEW Debugging Pandas Errors with ChatGPT FoxO gitir
- 056 Getting help on StackOverflow com C6c6 gitir
- 057 How to traceback more complex Errors eVf9 gitir
- 058 Problems with the Python Installation 1ewL gitir
- 059 External Factors and Issues T0Uh gitir
- 060 Errors related to the course content Transcription Errors 64bG gitir
- 061 Summary and Debugging Flow Chart nhFl gitir
- 062 NEW The Debugging Flow Chart with ChatGPT 3Zhx gitir
- 064 First Steps with Pandas Series 08uB gitir
- 065 Analyzing Numerical Series with unique nunique and value counts hpR8 gitir
- 068 Analyzing non numerical Series with unique nunique value counts sKQp gitir
- 071 The copy method X9rv gitir
- 072 Sorting of Series and Introduction to the inplace parameter CUg5 gitir
- 075 Coding Exercise 3 Intro fVvj gitir
- 076 Coding Exercise 3 Solution YQA9 gitir
- 077 First Steps with Pandas Index Objects Nd6C gitir
- 079 Changing Row Index with set index and reset index 3Fi1 gitir
- 081 Changing Column Labels p12D gitir
- 082 Renaming Index Column Labels with rename mc9o gitir
- 085 Coding Exercise 4 Intro PEUm gitir
- 086 Coding Exercise 4 Solution lYmc gitir
- 087 Sorting DataFrames with sort index and sort values 6qxe gitir
- 088 nunique and nlargest nsmallest with DataFrames EWX3 gitir
- 089 Filtering DataFrames one Condition PcI9 gitir
- 091 Filtering DataFrames by many Conditions AND AO7L gitir
- 092 Filtering DataFrames by many Conditions OR FR7h gitir
- 094 Advanced Filtering with between isin and EFiG gitir
- 096 any and all HIlc gitir
- 099 Coding Exercise 5 Intro QqaB gitir
- 100 Coding Exercise 5 Solution Q14q gitir
- 101 Intro to NA Values missing Values LCj5 gitir
- 102 Handling NA Values missing Values pjKN gitir
- 103 Exporting DataFrames to csv sPIO gitir
- 104 Summary Statistics and Accumulations GLgO gitir
- 105 The agg method Xrfm gitir
- 106 Coding Exercise 6 Intro ii62 gitir
- 107 Coding Exercise 6 Solution RscV gitir
- 109 Visualization with Matplotlib Intro lLdf gitir
- 110 Customization of Plots laQF gitir
- 111 Histogramms Part 1 E9pm gitir
- 112 Histogramms Part 2 fLK3 gitir
- 113 Scatterplots XTmW gitir
- 114 First Steps with Seaborn CEH7 gitir
- 115 Categorical Seaborn Plots 8mJg gitir
- 116 Seaborn Regression Plots LFAD gitir
- 118 Seaborn Heatmaps eBzt gitir
- 119 Coding Exercise 7 Intro YVdV gitir
- 120 Coding Exercise 7 Solution HyvT gitir
- 122 Removing Columns tZ7k gitir
- 123 Removing Rows UXfc gitir
- 125 Adding new Columns to a DataFrame jQCH gitir
- 126 Arithmetic Operations Part 1 FIfA gitir
- 127 Arithmetic Operations Part 2 5maE gitir
- 128 Creating DataFrames from Scratch with pd DataFrame 3hIf gitir
- 130 Adding new Rows Hands on z9Ol gitir
- 131 Adding new Rows to a DataFrame kagH gitir
- 132 Manipulating Elements in a DataFrame u0Kk gitir
- 133 Coding Exercise 8 Intro WyFj gitir
- 134 Coding Exercise 8 Solution no8o gitir
- 135 Introduction to GroupBy Operations 9ftJ gitir
- 136 Understanding the GroupBy Object 3t4d gitir
- 137 Splitting with many Keys IeEk gitir
- 138 split apply combine OTeo gitir
- 139 split apply combine applied 0h6X gitir
- 140 Hierarchical Indexing with Groupby P6SO gitir
- 141 stack and unstack JAC4 gitir
- 143 Coding Exercise 9 Intro i87K gitir
- 144 Coding Exercise 9 Solution aTcc gitir
- 147 Importing Time Series Data from csv files s7lT gitir
- 148 Converting strings to datetime objects with pd to datetime 9Odj gitir
- 149 Initial Analysis Visualization of Time Series 2LmZ gitir
- 150 Indexing and Slicing Time Series d6rO gitir
- 151 Creating a customized DatetimeIndex with pd date range qqkp gitir
- 152 Update New Frequency Strings Pandas 3 x AZQJ gitir
- 154 More on pd date range Pxzh gitir
- 155 Coding Exercise 10 intro tY2b gitir
- 156 Coding Exercise 10 Solution YbCB gitir
- 157 Downsampling Time Series with resample Part 1 BTCE gitir
- 158 Downsampling and the PeriodIndex pD94 gitir
- 159 Advanced Indexing with reindex C10S gitir
- 160 Coding Exercise 11 intro aUsX gitir
- 161 Coding Exercise 11 Solution ynk0 gitir
- 163 Getting Ready Installing required library c32Y gitir
- 164 Importing Stock Price Data from Yahoo Finance it still works 32tK gitir
- 165 Initial Inspection and Visualization URDS gitir
- 166 Normalizing Time Series to a Base Value 100 9lTI gitir
- 167 The shift method GN61 gitir
- 168 The methods diff and pct change k291 gitir
- 169 Measuring Stock Performance with MEAN Returns and STD of Returns CWcY gitir
- 170 Financial Time Series Return and Risk SdGk gitir
- 172 Financial Time Series Covariance and Correlation ruws gitir
- 173 Coding Exercise 12 intro E5pz gitir
- 174 Coding Exercise 12 Solution ZeBy gitir
- 175 Intro 6P0M gitir
- 177 Importing Financial Data from Excel D6BE gitir
- 178 Simple Moving Averages SMA with rolling Rjhl gitir
- 179 Momentum Trading Strategies with SMAs w51Z gitir
- 181 S P 500 Performance Reporting rolling risk and return FdwS gitir
- 182 S P 500 Investment Horizon and Performance 6c8J gitir
- 183 Simple Returns vs Log Returns QIH2 gitir
- 186 The S P 500 Return Triangle Part 1 di67 gitir
- 187 The S P 500 Return Triangle Part 2 TgYi gitir
- 189 The S P 500 Dollar Triangle h5sc gitir
- 190 The S P 500 Weather Radar HgFe gitir
- 191 Exponentially weighted Moving Averages EWMA wCy4 gitir
- 192 Expanding Windows JVkm gitir
- 193 Rolling Correlation DwgE gitir
- 194 rollling with fixed sized time offsets nXql gitir
- 195 Merging Aligning Financial Time Series hands on 6HmZ gitir
- 196 Coding Exercise 13 intro qndp gitir
- 197 Coding Exercise 13 Solution zijR gitir
- 198 Financial Indexes an Overview TNqP gitir
- 200 Getting the Data BIJt gitir
- 201 Price Weighted Index Theory s92u gitir
- 203 Creating a Price Weighted Stock Index with Python R3uy gitir
- 204 Equal Weighted Index Theory bZ1j gitir
- 206 Creating an Equal Weighted Stock Index with Python 8tPd gitir
- 207 Market Value Weighted Index Theory Kgnt gitir
- 209 Creating a Market Value Weighted Stock Index with Python Part 1 br7w gitir
- 210 Creating a Market Value Weighted Stock Index with Python Part 2 SEuV gitir
- 211 Comparison of weighting methods IvKq gitir
- 212 Price Index vs Performance Total Return Index DnQM gitir
- 213 Coding Exercise 14 intro h3Ee gitir
- 214 Coding Exercise 14 Solution 6buN gitir
- 215 Intro 2eUs gitir
- 216 Getting the Data xeYD gitir
- 217 Creating the equally weighted Portfolio Qobt gitir
- 218 Creating many random Portfolios with Python 6BXJ gitir
- 219 What is the Sharpe Ratio and a Risk Free Asset MatE gitir
- 220 Portfolio Analysis and the Sharpe Ratio with Python EjkP gitir
- 222 Finding the Optimal Portfolio JkW3 gitir
- 224 Sharpe Ratio visualized and explained KoQQ gitir
- 226 Coding Exercise 15 Intro Ddpo gitir
- 227 Coding Exercise 15 Solution FDtI gitir
- 228 Intro 6V2e gitir
- 229 Capital Market Line CML Two Fund Theorem BKRY gitir
- 231 The Portfolio Diversification Effect hwmR gitir
- 232 Systematic vs unsystematic Risk DBjD gitir
- 234 Capital Asset Pricing Model CAPM Security Market Line SLM E38W gitir
- 236 Beta and Alpha 8B8b gitir
- 237 Redefining the Market Portfolio mwSA gitir
- 238 Cyclical vs non cyclical Stocks another Intuition on Beta qNDo gitir
- 240 Coding Exercise 16 Intro SDUY gitir
- 241 Coding Exercise 16 Solution 2Pcj gitir
- 242 Intro kC8V gitir
- 243 Mean Variance Optimization MVO TQFm gitir
- 244 Its not that simple Part 1 Investments 101 vs Real World eIiy gitir
- 245 Changing Expected Returns hmEF gitir
- 246 Its not that simple Part 2 Investments 101 vs Real World 7jCD gitir
- 247 Intro ZhHV gitir
- 249 Setting up a Cufflinks environment n1QG gitir
- 251 Creating Offline Graphs in Jupyter Notebooks G8Va gitir
- 252 Interactive Price Charts with Plotly sFso gitir
- 253 Customizing Plotly Charts LyJ8 gitir
- 254 Interactive Histograms with Plotly kmpx gitir
- 255 Candle Stick and OHLC Charts with Plotly faK2 gitir
- 256 SMA and Bollinger Bands with Plotly ikOf gitir
- 257 More Technical Indicators with Plotly Volume MACD DMI Vl9H gitir
- 260 Financial Analyst Challenge Intro Y0qB gitir
- 261 Financial Analyst Challenge Instruction Hints wwIq gitir
- 262 Financial Analyst Challenge Solution Part 1 WGEm gitir
- 263 Financial Analyst Challenge Solution Part 2 Jif3 gitir
- 264 Financial Analyst Challenge Solution Part 3 IpZA gitir
- 265 Financial Analyst Challenge Solution Part 4 6jT6 gitir
- 266 Financial Analyst Challenge Solution Part 5 8Qrs gitir
- 267 Financial Analyst Challenge Solution Part 6 cpAs gitir
- 268 Financial Analyst Challenge Solution Part 7 E45G gitir
- 271 Helpful DatetimeIndex Attributes and Methods vq4M gitir
- 272 Filling NA Values with bfill ffill and interpolation 3R3U gitir
- 273 resample and agg YpdD gitir
- 274 resample and OHLC xMU7 gitir
- 275 Upsampling with resample C6cU gitir
- 276 Timezones and Converting Part 1 Hdgd gitir
- 277 Timezones and Converting Part 2 3G1t gitir
- 278 Shifting Dates with pd DateOffset 0XTm gitir
- 279 Advanced Date Shifting 6wKJ gitir
- 280 The Timedelta Object Pv20 gitir
- 281 Intro and Overview xwav gitir
- 283 Important Recap Pandas Display Options Changed in Version 0 25 AZLG gitir
- 284 Info method new and extended output 0yiz gitir
- 285 NEW Extension dtypes nullable dtypes Why do we need them jgVy gitir
- 286 Creating the NEW extension dtypes with convert dtypes fQsf gitir
- 287 NEW pd NA value for missing values 0h8V gitir
- 288 The NEW nullable Int64Dtype otdv gitir
- 289 The NEW StringDtype xDPE gitir
- 290 The NEW nullable BooleanDtype IqlH gitir
- 291 Addition of the ignore index parameter a8Zk gitir
- 292 Removal of prior Version Deprecations aGyc gitir
- 294 Intro KKt5 gitir
- 295 First Steps XhYz gitir
- 296 Variables BZcf gitir
- 297 Data Types Integers Floats E6Im gitir
- 298 Data Types Strings Owpn gitir
- 299 Data Types Lists Part 1 ksqZ gitir
- 300 Data Types Lists Part 2 Ub65 gitir
- 301 Data Types Tuples 89tV gitir
- 302 Data Types Sets tUZa gitir
- 303 Operators Booleans wAn2 gitir
- 304 Conditional Statements if elif else while KeV0 gitir
- 305 For Loops YQZn gitir
- 306 Key words break pass continue Ra01 gitir
- 307 Generating Random Numbers OJDc gitir
- 308 User Defined Functions Part 1 lZj6 gitir
- 309 User Defined Functions Part 2 v4OH gitir
- 310 User Defined Functions Part 3 2szq gitir
- 311 Visualization with Matplotlib SGZR gitir
- 313 Quiz Solution HgUU gitir
- 314 Introduction to Numpy Arrays TK0c gitir
- 315 Numpy Arrays Vectorization djHj gitir
- 316 Numpy Arrays Indexing and Slicing v2wR gitir
- 317 Numpy Arrays Shape and Dimensions SMGh gitir
- 318 Numpy Arrays Indexing and Slicing of multi dimensional Arrays lh4X gitir
- 319 Numpy Arrays Boolean Indexing q8sn gitir
- 320 Generating Random Numbers H4gz gitir
- 321 Performance Issues 4hBv gitir
- 322 Case Study Numpy vs Python Standard Library EF2o gitir
- 323 Summary Statistics 6Seo gitir
- 324 Visualization and Linear Regression uw2Q gitir
- 326 Numpy Quiz Solution lSbx gitir
- 327 Diving into ChatGPT for Finance The Power of Prompts btED gitir
- 328 What is ChatGPT and how does it work PjqS gitir
- 329 ChatGPT vs Search Engines nAXf gitir
- 330 Artificial Intelligence vs Human Intelligence vbKV gitir
- 331 Creating a ChatGPT account and getting started dwbs gitir
- 332 Update July 2024 uKYv gitir
- 333 Features Options and Products around GPT models 2VfR gitir
- 335 Navigating the OpenAI Website kPpy gitir
- 336 What is a Token and how do Tokens work PSXw gitir