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Data Schooled

@DataSchooled

A community dedicated to equipping professionals with data knowledge and skills.

 Alberta
Joined March 2022
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Are you aspiring to become a Data Analyst in 2023? The necessary skills required for you to become a Data Analyst are: - Excel - SQL - Power BI - Python Then, these YOUTUBE channels are best for you to kickstart your journey with.
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Who is a data analyst? A data analyst is a storyteller who: *asks the right questions *finds answers *translates the answers to specific recommended actions *Communicates these with the relevant decision makers using visual metaphors/non-technical answers. #data #DataScience
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Thank you for learning and building with us. Kindly follow @DataSchooled for more data related tips & contents
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Dave@thedavescience16 Sep 2022
The best way to reach mastery in coding for data science is with daily practice. Use these 10 resources for unlimited exercises (SQL, Python, pandas, ML) so you can become a master. 🧵
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CREATING A HORIZONTAL BAR CHART WITH MATPLOTLIB 🧵🧵🧵🧵
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2. Customizing Horizontal Bar Chart Code: Output
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If you find this helpful, kindly ❤️ & 🔁 Follow @DataSchooled and turn on notifications for more Data Related content.
Power Query (Transform Tab) with Python Power Query is a data transformation and data preparation engine. Power Query comes with a graphical interface for getting data from sources and a Power Query Editor for applying transformations.
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10 PUBLIC DATA SOURCES FOR YOUR DATA ANALYSIS PROJECTS 🧵🧵🧵
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8. Makeover Mondays Datasets from the weekly Makeover Monday competition. makeovermonday.co.uk/data/ 9. NASA National Aeronautics and Space Administration datasets and images. data.giss.nasa.gov/
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10. Our World In Data Explore the ongoing history of human civilization at the broadest level, through research and data visualization (with downloadable datasets). ourworldindata.org/
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3 WAYS TO FILL MISSING VALUES IN PYTHON A 🧵🧵🧵🧵
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3. Filling with Aggregrate Values We can also replace NaN values by filling them with the aggregate value (mean, median, or mode) of a specific column in our dataset. NB: Imputing missing data with aggregate values can only be done with numerical data.
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If you find this helpful, kindly engage xitter.cf/DataSchooled/status/15… give it ❤️ & 🔁 Follow @DataSchooled and turn on notifications for more Data Related content.
Data Schooled (@DataSchooled) profile pictureData Schooled@DataSchooled5 Sep 2022
3 WAYS TO FILL MISSING VALUES IN PYTHON A 🧵🧵🧵🧵
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