Learning Python for Data Analysis and Visualization Ver 1
- Description
- Curriculum
- FAQ
- Reviews
This course will give you the resources to learn python and effectively use it analyze and visualize data! Start your career in Data Science!
You’ll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data.
You will also get lifetime access to over 100 example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers!
By the end of this course you will:
– Have an understanding of how to program in Python.
– Know how to create and manipulate arrays using numpy and Python.
– Know how to use pandas to create and analyze data sets.
– Know how to use matplotlib and seaborn libraries to create beautiful data visualization.
– Have an amazing portfolio of example python data analysis projects!
– Have an understanding of Machine Learning and SciKit Learn!
With 100+ lectures and over 20 hours of information and more than 100 example python code notebooks, you will be excellently prepared for a future in data science!
Please make sure you read the entire page to understand if the course is the correct version for you.
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6Intro to numpyText lesson
Take a quick glance at the links in the text and then move on to the next lecture for the video lessons!
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7Creating arraysVideo lesson
Learn to create arrays with numpy and Python.
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8Using arrays and scalarsVideo lesson
Learn how to perform operations on multiple arrays and scalars!
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9Indexing ArraysVideo lesson
Learn how to index arrays with numpy.
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10Array TranspositionVideo lesson
Learn several universal array functions in numpy.
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11Universal Array FunctionVideo lesson
Learn how to transpose arrays with numpy.
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12Array ProcessingVideo lesson
Learn different methods of processing arrays.
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13Array Input and OutputVideo lesson
Learn how to import and export your arrays.
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14SeriesVideo lesson
Learn about the Series data structure in pandas.
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15DataFramesVideo lesson
Learn about the DataFrame structure in pandas.
Important Note: If copying directly from Wikipedia does not work, paste the data into a word processor or NotePad Editor and then copy it from there and then run pd.read_clipboard()
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16Index objectsVideo lesson
Learn how to index Series and DataFrames in pandas.
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17ReindexVideo lesson
Learn how to reindex in pandas.
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18Drop EntryVideo lesson
Learn how to drop data entries in pandas.
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19Selecting EntriesVideo lesson
Learn how to select particular entries in a pandas data structure.
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20Data AlignmentVideo lesson
Learn how to align your data in Python.
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21Rank and SortVideo lesson
Learn how to rank and sort data entries.
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22Summary StatisticsVideo lesson
Learn how to quickly get summary statistics in pandas.
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23Missing DataVideo lesson
Learn different ways of dealing with missing data in pandas.
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24Index HierarchyVideo lesson
Learn how to create hierarchical indexes in pandas.
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25Reading and Writing Text FilesVideo lesson
Learn how to import and export text files with pandas.
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26JSON with PythonVideo lesson
Learn how to import and export JSON files with pandas.
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27HTML with PythonVideo lesson
Learn how to import HTML files with pandas.
NOTE: Install the following before this lecture, using either conda install or pip install:
pip install beautifulsoup4
pip install lxml
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28Microsoft Excel files with PythonVideo lesson
Learn how to import and export MS Excel files with pandas.
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29MergeVideo lesson
Learn the basics of merging data sets.
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30Merge on IndexVideo lesson
Learn how to merge using an index.
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31ConcatenateVideo lesson
Learn how to concatenate arrays,matrices, and DataFrames.
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32Combining DataFramesVideo lesson
Learn how to combine DataFrames in pandas.
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33ReshapingVideo lesson
Learn how to reshape data sets.
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34PivotingVideo lesson
Learn how to create Pivot tables with Python.
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35Duplicates in DataFramesVideo lesson
Learn how to take care of duplicate data entries.
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36MappingVideo lesson
Learn how to use mapping with pandas.
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37ReplaceVideo lesson
Learn how to replace data in pandas.
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38Rename IndexVideo lesson
Learn how to rename indexes in pandas.
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39BinningVideo lesson
Learn how to use bins with pandas.
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40OutliersVideo lesson
Learn how to find outliers in your data with pandas.
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41PermutationVideo lesson
Learn how to use permutation with numpy and pandas.
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42GroupBy on DataFramesVideo lesson
Learn how to use advanced groupby techniques.
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43GroupBy on Dict and SeriesVideo lesson
Learn how to use the groupby method on Dictionaries and Series.
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44AggregationVideo lesson
Learn about Data Aggregation with Python and pandas.
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45Splitting Applying and CombiningVideo lesson
Learn about the powerful Split-Apply-Combine technique and how to use it in pandas.
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46Cross TabulationVideo lesson
Learn about cross-tabulation in pandas, a special case of pivot table!
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47Installing SeabornVideo lesson
Quick overview on installing seaborn. Use "conda install seaborn" or "pip install seaborn".
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48HistogramsVideo lesson
Learn how to create histograms using seaborn and python.
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49Kernel Density Estimate PlotsVideo lesson
Learn how to create kernel Density Estimation Plots with seaborn.
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50Combining Plot StylesVideo lesson
Learn how to combine histograms, KDE , and rug plots onto a single figure.
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51Box and Violin PlotsVideo lesson
Learn how to create box and violin plots with seaborn.
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52Regression PlotsVideo lesson
Learn how to create regression plots in seaborn.
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53Heatmaps and Clustered MatricesVideo lesson
Learn how to create heatmaps with seaborn.
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54Data Projects PreviewVideo lesson
Quick Preview for those interested in enrolling in the course!
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55Intro to Data ProjectsVideo lesson
Get an introduction to Github, Kaggle, and great public data sets!
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56Titanic Project - Part 1Video lesson
Learn how to analyze the Titanic Kaggle Problem with Python, pandas, and seaborn!
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57Titanic Project - Part 2Video lesson
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58Titanic Project - Part 3Video lesson
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59Titanic Project - Part 4Video lesson
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60Intro to Data Project - Stock Market AnalysisVideo lesson
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61Data Project - Stock Market Analysis Part 1Video lesson
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62Data Project - Stock Market Analysis Part 2Video lesson
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63Data Project - Stock Market Analysis Part 3Video lesson
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64Data Project - Stock Market Analysis Part 4Video lesson
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65Data Project - Stock Market Analysis Part 5Video lesson
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66Data Project - Intro to Election AnalysisVideo lesson
Please Note: The second presidential debate was Oct 16 and not Oct 11. Oct 11 was the date of the Vice Presidential Debate!
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67Data Project - Election Analysis Part 1Video lesson
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68Data Project - Election Analysis Part 2Video lesson
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69Data Project - Election Analysis Part 3Video lesson
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70Data Project - Election Analysis Part 4Video lesson