Avsnitt
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In this Q&A session, I addressed concerns around the need for creativity in data visualization, how to stay consistent, how to apply learnings from Data courses to real-life use cases, and many others.
If you have any questions, put them in the comment section and I will respond to them ASAP!
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Dive into the world of data analytics as we unleash the practical guide to doing it right! Discover powerful strategies, expert tips, and game-changing insights in this captivating episode that will elevate your analytics skills and career. Don't miss out on this data journey!
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Saknas det avsnitt?
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Data Analytics - How to Do it Right
In this first part of the discussion, Hamid Abdulsalam, a Data Scientist with Factual Analytics shared critical insights into how to get started as a Data Analyst.
Bringing over 8 years of experience as a Data Scientist and Statistician, he demystified the best strategy for gaining and retaining proficiency in Data Analysis.
We looked into the common misconceptions around Data Analysis and expatiated on the primary focus areas for rapid career growth in the Data Space.
Links mentioned by Hamid (https://www.linkedin.com/in/bigbirdhamid/) --
for publishing data content;
rpubs.com rblogger.com (for R) kdnuggets.com Kaggle.com medium.comfor learning data science concepts; https://towardsdatascience.com
Join us on this ride to discovery!
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While we gather momentum to learn some core python coding concepts; This episode albeit short seeks to clarify the need for python standalone files and to show the difference between Scripts and Modules in python.
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Let me know your thoughts about this episode. -
In this episode, I discuss the importance of Dictionary data structures and their methods. Quite an interesting episode this is!. Listen, make further research and apply this in your data transformation activities. Keep learning, growing, and leading!.
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In this episode, I talked in-depth about the use of Lists and their importance to Data Science. If you find this insightful, feel free to share it with your network of Data Scientists and enthusiasts. More discussions on data structures will be aired in the coming episodes. Stay tuned!
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In investigating a dataset for the purpose of transformation, visualization, or even for predictive modeling, it is almost inevitable to employ loops where a process is iterative or repetitive. This episode addresses just how loops fit into the mix!. Enjoy and stay tuned for the next episode.
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In Data Exploration and Transformation, the importance of logical operation and conditional statements can not be over-emphasized. In this episode, I touched on the essential points needed to grasp the basic concept surrounding these. Enjoy and watch out for the next episode on Loops.
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Here I talked about the importance of geoplots and how to use them effectively. Also made a summary of all we have covered so far about Data Visualization and storytelling. Watch out for the next series on Python.
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A dive into Design practices and what makes a good visualization. Also discussed the different kinds of plots and where to suitably apply them. The next episode will entail a deeper dive, so stay tuned and geared up!
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