How to Data (Joshiverse- Journey of a Budding Data Scientist)
Rásarupplýsingar
How to Data (Joshiverse- Journey of a Budding Data Scientist)
Discovering the intricacies of becoming a data scientist and sharing exploratory perspectives on data science concepts. Bringing experts in the Data Space to talk about relevant topics drawing from their wealth of knowledge and experience.
Nýlegir þættir
25 þættir
ANSWERS TO THE MOST CRUCIAL QUESTIONS IN DATA ANALYTICS (How to Data - Ep3)
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 Da...
How to do Data Analytics the Right Way - Part 2 (How to Data -Ep2)
Dive into the world of data analytics as we unleash the practical guide to doing it right! Discover powerful strategies, expert tips, and game-changin...
How to do Data Analytics the right way- Part 1 (How to Data Ep1)
Data Analytics - How to Do it Right
In this first part of the discussion, Hamid Abdulsalam, a Data Scientist with Factual Analytics shared criti...
How to Data (Essentials for becoming a Data Analyst/Scientist)
I briefly discussed the less technical requirement for becoming a Data Analyst/Scientist in this introductory episode. Anticipate subsequent live podc...
Python for Data Science - Machine Learning: Data Collection
A look into data collection through webscrapping, using beautifulsoup and requests libraries in python.
Episode 19 (Python for Data Science - Python Files - Scripts and Modules)
While we gather momentum to learn some core python coding concepts; This episode albeit short seeks to clarify the need for python standalone files an...
Episode 18 (Python for Data Science - Data Structures - Tuples and Sets)
In this episode I bring the series on Collection Types to an end by discussing Tuples and Sets. I also talked about their importance and how to utiliz...
Episode 17 (Python for Data Science - Data Structures - Dictionaries)
In this episode, I discuss the importance of Dictionary data structures and their methods. Quite an interesting episode this is!. Listen, make further...
Episode 16 (Python for Data Scientist - Data Structures - List)
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 wit...
Episode 15 (Python for Data Scientist - Loops)
In investigating a dataset for the purpose of transformation, visualization, or even for predictive modeling, it is almost inevitable to employ loops...
Episode 14 (Python for Data Scientist - Logical operators and Conditionals)
In Data Exploration and Transformation, the importance of logical operation and conditional statements can not be over-emphasized. In this episode, I...
Episode 13 (Python for Data Science; What you must know - 1)
In this episode I discussed the significance of Python in the Data Science journey and what to look out for.
Enjoy the episode and endeav...
Episode 12 (Data Visualization and Storytelling- GeoPlots)
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 Visualiza...
Episode 11 (Data Visualization and Storytelling - Distribution Plot)
Statistical insights are easily obtained via Distribution plots. Listen to find out more.
Episode 10 (Data Visualization and Storytelling- Composition Plots)
A quick look at the various composition plot types and how to use them to communicate data insights effectively. Enjoy!
Episode 9 (Data Visualization and Storytelling- Relations Plot)
Discussion on how to utilize Relation Plots for visualization.
Episode 8 (Data Visualization and Storytelling- Comparison Plot)
An elementary look into the application of comparison plots.
Episode 7 (Data Visualization and Storytelling - 1)
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 ne...
Episode 6 (Introduction to Machine Learning-2)
We discuss more on the Linear and Logistics regression and how they are essential in machine learning.
Episode 05 (Introduction to Machine learning- 1)
This episode introduces you to what machine learning is and the process involved.
Episode 4 (Getting Started with Statistics for Data Science- 3)
This episode is a continuation to the previous episode, but covers more on inferential statistics; hypothesis testing. Enjoy and research more.
Episode 03 (Getting started with Statistics for Data Science-2)
This is the second part of the series on "Statistics" and it dwells more on Probabilities and Probability Distribution.
An interesting episode I...
Episode 2 (Getting started with statistics for Data Science)
A quick explanation of statistics- Descriptive statistics, measure of central tendency, measure of dispersion, normal distribution, percentile & quart...