Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Total monthly reach
Estimated from 2 chart positions in 2 markets.
By chart position
- 🇮🇳IN · How To#1061K to 10K
- 🇮🇩ID · How To#159500 to 3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
750 to 6.5K🎙 Weekly cadence·23 episodes·Long inactive - Monthly Reach
Unique listeners across all episodes (30 days)
1.5K to 13K🇮🇳77%🇮🇩23% - Active Followers
Loyal subscribers who consistently listen
450 to 3.9K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
—
* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
Recent episodes
How to Data (Essentials for becoming a Data Analyst/Scientist)
Mar 25, 2023
Unknown duration
Python for Data Science - Machine Learning: Data Collection
Feb 5, 2022
Unknown duration
Episode 19 (Python for Data Science - Python Files - Scripts and Modules)
May 26, 2021
Unknown duration
Episode 18 (Python for Data Science - Data Structures - Tuples and Sets)
Apr 22, 2021
Unknown duration
Episode 17 (Python for Data Science - Data Structures - Dictionaries)
Apr 1, 2021
Unknown duration
Social Links & Contact
Official channels & resources
Official Website
Login
RSS Feed
Login
| Date | Episode | Description | Length | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 3/25/23 | 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 podcast interviews. | — | ||||||
| 2/5/22 |  Python for Data Science - Machine Learning: Data Collection | A look into data collection through webscrapping, using beautifulsoup and requests libraries in python. | — | ||||||
| 5/26/21 | 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 and to show the difference between Scripts and Modules in python. Let me know your thoughts about this episode. | — | ||||||
| 4/22/21 | 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 utilize them. Enjoy! | — | ||||||
| 4/1/21 | 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 research and apply this in your data transformation activities. Keep learning, growing, and leading!. | — | ||||||
| 3/19/21 | 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 with your network of Data Scientists and enthusiasts. More discussions on data structures will be aired in the coming episodes. Stay tuned! | — | ||||||
| 3/8/21 | 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 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. | — | ||||||
| 2/26/21 | 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 touched on the essential points needed to grasp the basic concept surrounding these. Enjoy and watch out for the next episode on Loops. | — | ||||||
| 2/18/21 | 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 endeavor to carry out personal studies. Practice! Practice !! Practice!!! | — | ||||||
| 2/9/21 | 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 Visualization and storytelling. Watch out for the next series on Python. | — | ||||||
Want analysis for the episodes below?Free for Pro Submit a request, we'll have your selected episodes analyzed within an hour. Free, at no cost to you, for Pro users. | |||||||||
| 2/1/21 | Episode 11 (Data Visualization and Storytelling - Distribution Plot) | Statistical insights are easily obtained via Distribution plots. Listen to find out more. | — | ||||||
| 1/25/21 | 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! | — | ||||||
| 1/18/21 | Episode 9 (Data Visualization and Storytelling- Relations Plot) | Discussion on how to utilize Relation Plots for visualization. | — | ||||||
| 1/12/21 | Episode 8 (Data Visualization and Storytelling- Comparison Plot) | An elementary look into the application of comparison plots. | — | ||||||
| 1/3/21 | 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 next episode will entail a deeper dive, so stay tuned and geared up! | — | ||||||
| 12/28/20 | Episode 6 (Introduction to Machine Learning-2) | We discuss more on the Linear and Logistics regression and how they are essential in machine learning. | — | ||||||
| 12/19/20 | Episode 05 (Introduction to Machine learning- 1) | This episode introduces you to what machine learning is and the process involved. | — | ||||||
| 12/12/20 | 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. | — | ||||||
| 12/6/20 | 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 must add- enjoy. | — | ||||||
| 11/28/20 | 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 & quartiles, confidence interval and skewness. | — | ||||||
| 11/21/20 | Episode 01 - Introduction. | A quick overview of what to expect from this podcast. | — | ||||||
Showing 21 of 21
Pitch Fit is a Pro feature
See how bookable this show is for guests, which brands already advertise, the per-episode ad value, and the best-fit guest and sponsor profile. The numbers are blurred on the free plan.
How readily this show books outside guests like you.
How proven this show is for host-read sponsorships.
For Guests
ProFor Advertisers
ProUpgrade to Pro to unlock guest cadence, sponsor categories, fit scores, and per-episode ad value for this show.
Chart Positions
2 placements across 2 markets.
Chart Positions
2 placements across 2 markets.