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Practical Python for Data Professionals
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Other > Other
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112
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368.54 MiB (386437175 Bytes)
Uploaded:
2023-04-13 17:06:16 GMT
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tuts756 Trusted
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Info Hash:
77C74B378761CA800EBDDF05E2EF57A79C5EA15A




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Description

As data and data-related jobs have grown over the past decade, so has the demand for data skills. If you’re a data professional, this is great news! However, it’s important to continue to adapt to the changing demands of the market, which include adopting tools like Python to approach big data challenges. In this course, Sarah Nooravi shares a practical, project-based examination of Python, covering the skills needed to help you stand out among others in a competitive market. Sarah walks through an end-to-end Python analysis, typical of what you would encounter on the job– starting from the problem statement and takes you all the way through to insight delivery. Sarah helps you break down the problem, set expectations, and covers best practices around data cleaning, data visualization and storytelling. Lastly, she also shares common pitfalls and critical business and soft skills that will help you stand out.

Last Updated 3/2023

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[TutsNode.net] - Practical Python for Data Professionals/01 - Introduction/02 - Prerequisites.mp432.72 MiB
TutsNode.net.txt63 B
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/03 - Distributions Histograms.srt12.05 KiB
[TutsNode.net] - Practical Python for Data Professionals/01 - Introduction/01 - Introduction.srt1.87 KiB
[TGx]Downloaded from torrentgalaxy.to .txt585 B
[TutsNode.net] - Practical Python for Data Professionals/01 - Introduction/02 - Prerequisites.srt2.66 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/06 - Data visualizations Comparing categories.srt8.2 KiB
[TutsNode.net] - Practical Python for Data Professionals/02 - 1. Case Study Introduction/01 - The who, what, where, and why.srt441 B
.pad/016 B
[TutsNode.net] - Practical Python for Data Professionals/07 - Conclusion/01 - Wrap-up and next steps.mp424.16 MiB
[TutsNode.net] - Practical Python for Data Professionals/06 - 5. Data Visualization and Storytelling/07 - Putting it all together.srt10.18 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/07 - Data visualization Data tables.srt7.98 KiB
[TutsNode.net] - Practical Python for Data Professionals/03 - 2. Breaking Down the Problem Statement/02 - Get familiar Domain.srt7.73 KiB
[TutsNode.net] - Practical Python for Data Professionals/02 - 1. Case Study Introduction/04 - Where.srt2.15 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/08 - Data visualization Relationships.srt7.2 KiB
[TutsNode.net] - Practical Python for Data Professionals/02 - 1. Case Study Introduction/05 - Why.srt1.71 KiB
[TutsNode.net] - Practical Python for Data Professionals/04 - 3. Data Collection, Cleaning, and Transformation/02 - Read in data from a CSV file.srt6.97 KiB
[TutsNode.net] - Practical Python for Data Professionals/06 - 5. Data Visualization and Storytelling/01 - Visual best practices Part 1.srt6.45 KiB
[TutsNode.net] - Practical Python for Data Professionals/06 - 5. Data Visualization and Storytelling/02 - Visual best practices Part 2.srt6.22 KiB
[TutsNode.net] - Practical Python for Data Professionals/03 - 2. Breaking Down the Problem Statement/01 - Define the problem The three Ds.srt1.19 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/02 - Summary statistics.srt6.19 KiB
[TutsNode.net] - Practical Python for Data Professionals/04 - 3. Data Collection, Cleaning, and Transformation/04 - General cleaning techniques High-level checks.srt6.1 KiB
[TutsNode.net] - Practical Python for Data Professionals/02 - 1. Case Study Introduction/02 - Who.srt5.93 KiB
[TutsNode.net] - Practical Python for Data Professionals/06 - 5. Data Visualization and Storytelling/05 - Storyboarding.srt5.81 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/09 - Create a ridge plot.srt5.76 KiB
[TutsNode.net] - Practical Python for Data Professionals/03 - 2. Breaking Down the Problem Statement/05 - Get familiar Deliverable.srt5.58 KiB
.pad/11 B
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/03 - Distributions Histograms.mp416.31 MiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/05 - Other distribution types.srt5.08 KiB
[TutsNode.net] - Practical Python for Data Professionals/06 - 5. Data Visualization and Storytelling/06 - What's in a story.srt5 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/01 - Introduction to EDA.srt4.9 KiB
[TutsNode.net] - Practical Python for Data Professionals/02 - 1. Case Study Introduction/03 - What.srt4.8 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/04 - Data transformations Normalization and log.srt4.8 KiB
[TutsNode.net] - Practical Python for Data Professionals/03 - 2. Breaking Down the Problem Statement/04 - Get familiar Data.srt4.76 KiB
[TutsNode.net] - Practical Python for Data Professionals/06 - 5. Data Visualization and Storytelling/03 - Leverage exploratory and explanatory visualizations.srt4.64 KiB
[TutsNode.net] - Practical Python for Data Professionals/04 - 3. Data Collection, Cleaning, and Transformation/03 - General cleaning techniques.srt1.85 KiB
[TutsNode.net] - Practical Python for Data Professionals/04 - 3. Data Collection, Cleaning, and Transformation/06 - Data transformations Binning.srt4.44 KiB
[TutsNode.net] - Practical Python for Data Professionals/03 - 2. Breaking Down the Problem Statement/06 - Set the right expectations.srt4.31 KiB
[TutsNode.net] - Practical Python for Data Professionals/02 - 1. Case Study Introduction/06 - Case study introduction.srt4.24 KiB
[TutsNode.net] - Practical Python for Data Professionals/03 - 2. Breaking Down the Problem Statement/03 - Domain Applied.srt4.16 KiB
[TutsNode.net] - Practical Python for Data Professionals/04 - 3. Data Collection, Cleaning, and Transformation/01 - Getting set up in Codespaces.srt3.5 KiB
[TutsNode.net] - Practical Python for Data Professionals/04 - 3. Data Collection, Cleaning, and Transformation/05 - General cleaning techniques Missing values.srt3.42 KiB
[TutsNode.net] - Practical Python for Data Professionals/06 - 5. Data Visualization and Storytelling/04 - Choose a medium.srt3.07 KiB
[TutsNode.net] - Practical Python for Data Professionals/07 - Conclusion/01 - Wrap-up and next steps.srt1.79 KiB
.pad/2125.44 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/06 - Data visualizations Comparing categories.mp416.12 MiB
.pad/3129.92 KiB
[TutsNode.net] - Practical Python for Data Professionals/01 - Introduction/01 - Introduction.mp415.94 MiB
.pad/458.66 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/08 - Data visualization Relationships.mp415.05 MiB
.pad/5201.57 KiB
[TutsNode.net] - Practical Python for Data Professionals/03 - 2. Breaking Down the Problem Statement/01 - Define the problem The three Ds.mp414.16 MiB
.pad/687.83 KiB
[TutsNode.net] - Practical Python for Data Professionals/06 - 5. Data Visualization and Storytelling/07 - Putting it all together.mp414.02 MiB
.pad/7235.83 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/07 - Data visualization Data tables.mp413.02 MiB
.pad/8237.23 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/09 - Create a ridge plot.mp412.96 MiB
.pad/945.79 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/02 - Summary statistics.mp411.78 MiB
.pad/10227.53 KiB
[TutsNode.net] - Practical Python for Data Professionals/04 - 3. Data Collection, Cleaning, and Transformation/02 - Read in data from a CSV file.mp411.68 MiB
.pad/1174.59 KiB
[TutsNode.net] - Practical Python for Data Professionals/02 - 1. Case Study Introduction/02 - Who.mp411.09 MiB
.pad/12164.42 KiB
[TutsNode.net] - Practical Python for Data Professionals/04 - 3. Data Collection, Cleaning, and Transformation/04 - General cleaning techniques High-level checks.mp410.46 MiB
.pad/1337.85 KiB
[TutsNode.net] - Practical Python for Data Professionals/06 - 5. Data Visualization and Storytelling/02 - Visual best practices Part 2.mp49.11 MiB
.pad/14140.31 KiB
[TutsNode.net] - Practical Python for Data Professionals/04 - 3. Data Collection, Cleaning, and Transformation/06 - Data transformations Binning.mp49.09 MiB
.pad/15160.64 KiB
[TutsNode.net] - Practical Python for Data Professionals/03 - 2. Breaking Down the Problem Statement/02 - Get familiar Domain.mp48.59 MiB
.pad/16164.8 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/05 - Other distribution types.mp48.34 MiB
.pad/17164.07 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/04 - Data transformations Normalization and log.mp48.32 MiB
.pad/18179.73 KiB
[TutsNode.net] - Practical Python for Data Professionals/05 - 4. EDA/01 - Introduction to EDA.mp48.24 MiB
.pad/1912.86 KiB
[TutsNode.net] - Practical Python for Data Professionals/06 - 5. Data Visualization and Storytelling/01 - Visual best practices Part 1.mp48.12 MiB
.pad/20134.53 KiB
[TutsNode.net] - Practical Python for Data Professionals/02 - 1. Case Study Introduction/03 - What.mp48.1 MiB
.pad/21152.8 KiB
[TutsNode.net] - Practical Python for Data Professionals/04 - 3. Data Collection, Cleaning, and Transformation/05 - General cleaning techniques Missing values.mp47.81 MiB
.pad/22191.61 KiB
[TutsNode.net] - Practical Python for Data Professionals/02 - 1. Case Study Introduction/06 - Case study introduction.mp47.68 MiB
.pad/2368.79 KiB
[TutsNode.net] - Practical Python for Data Professionals/06 - 5. Data Visualization and Storytelling/06 - What's in a story.mp46.81 MiB
.pad/24193.13 KiB
[TutsNode.net] - Practical Python for Data Professionals/03 - 2. Breaking Down the Problem Statement/06 - Set the right expectations.mp46.23 MiB
.pad/2524.18 KiB
[TutsNode.net] - Practical Python for Data Professionals/06 - 5. Data Visualization and Storytelling/05 - Storyboarding.mp46.09 MiB
.pad/26160.83 KiB
[TutsNode.net] - Practical Python for Data Professionals/02 - 1. Case Study Introduction/01 - The who, what, where, and why.mp45.56 MiB
.pad/27192.33 KiB
[TutsNode.net] - Practical Python for Data Professionals/04 - 3. Data Collection, Cleaning, and Transformation/01 - Getting set up in Codespaces.mp44.94 MiB
.pad/2859.7 KiB
[TutsNode.net] - Practical Python for Data Professionals/03 - 2. Breaking Down the Problem Statement/05 - Get familiar Deliverable.mp44.92 MiB
.pad/2985.75 KiB
[TutsNode.net] - Practical Python for Data Professionals/06 - 5. Data Visualization and Storytelling/03 - Leverage exploratory and explanatory visualizations.mp44.81 MiB
.pad/30191.94 KiB
[TutsNode.net] - Practical Python for Data Professionals/03 - 2. Breaking Down the Problem Statement/04 - Get familiar Data.mp44.64 MiB
.pad/31112.38 KiB
[TutsNode.net] - Practical Python for Data Professionals/06 - 5. Data Visualization and Storytelling/04 - Choose a medium.mp44.48 MiB
.pad/3217.87 KiB
[TutsNode.net] - Practical Python for Data Professionals/03 - 2. Breaking Down the Problem Statement/03 - Domain Applied.mp44.35 MiB
.pad/33158.62 KiB
[TutsNode.net] - Practical Python for Data Professionals/02 - 1. Case Study Introduction/04 - Where.mp44.15 MiB
.pad/34104.5 KiB
[TutsNode.net] - Practical Python for Data Professionals/04 - 3. Data Collection, Cleaning, and Transformation/03 - General cleaning techniques.mp42.72 MiB
.pad/3526.26 KiB
[TutsNode.net] - Practical Python for Data Professionals/02 - 1. Case Study Introduction/05 - Why.mp41.54 MiB