List: Data Science Resources | Curated by Akshaya Balaji

Oct 28, 2023
35 stories
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Data Science Resources
In
TDS Archive
by
Viyaleta Apgar
Strategic Data Analysis (Part 3): Diagnostic QuestionsDeep dive into the approach for answering “why” questions
Oct 26, 2023
3
Oct 26, 2023
3
In
CodeX
by
Gaurav Thalpati
7 ways to speed up your Data Reconciliation processHave you invested days, if not months, in reconciling your data post-migration to the cloud?
May 6, 2022
May 6, 2022
In
TDS Archive
by
Alon Agmon
Data Access API over Data Lake Tables Without the  ComplexityBuild a robust GraphQL API service on top of your S3 data lake files with DuckDB and Go.
Sep 28, 2023
2
Sep 28, 2023
2
In
TDS Archive
by
Michal Szudejko
The Might of Data LiteracyIs this the Key to Successful Use of Data and Analytics?
Aug 23, 2023
Aug 23, 2023
In
TDS Archive
by
Michal Szudejko
How to Talk About Data and Analysis to Non-Data PeopleA step-by-step tutorial for data professionals
Sep 22, 2023
9
Sep 22, 2023
9
In
TDS Archive
by
Murtaza Ali
How to Use the T-Test and its Non-Parametric CounterpartDo you really understand this test you likely learned in high school?
Sep 17, 2023
1
Sep 17, 2023
1
In
TDS Archive
by
Miriam Santos
How to Generate Real-World Synthetic Data with CTGANExploring the Streamlit App introduced in ydata-synthetic
Apr 13, 2023
2
Apr 13, 2023
2
In
TDS Archive
by
Miriam Santos
Missing Data Demystified: The Absolute Primer for Data ScientistsMissing data, missing mechanisms, and missing data profiling
Aug 29, 2023
1
Aug 29, 2023
1
In
TDS Archive
by
John Lenehan
Sampling Techniques in Data AnalysisHow to choose the right data sampling method for your data
Sep 6, 2023
Sep 6, 2023
In
TDS Archive
by
David Rubio
A step-by-step guide to build an Effective Data Quality Strategy from scratchHow to build an interpretable Data Quality Framework based on user expectations
Aug 3, 2023
4
Aug 3, 2023
4
In
TDS Archive
by
Mario Larcher
Decoding NumPy’s Dot Product: A Brief Exploration of Dimensional WizardryClarifying once and for all the confusion over NumPy’s dot product
Jul 24, 2023
Jul 24, 2023
In
TDS Archive
by
Khuyen Tran
Stop Hard Coding in a Data Science Project — Use Config Files InsteadAnd How to Efficiently Interact with Config Files in Python
May 26, 2023
32
May 26, 2023
32
In
TDS Archive
by
Xiaoxu Gao
How to Create Valuable Data TestsWhat matters is not the quantity, but the quality.
Jul 3, 2023
1
Jul 3, 2023
1
In
TDS Archive
by
Erdogan Taskesen
The Path to Success in Data Science Is About Your Ability to Learn. But What to Learn?The chances of successfully delivering data science projects are greatest when you keep learning, but it’s not always clear what to focus…
Jun 29, 2023
7
Jun 29, 2023
7
In
TDS Archive
by
Marie Lefevre
Data Documentation 101: Why? How? For Whom?Best practices for establishing complete and reliable data documentation within your organization
Jun 13, 2023
2
Jun 13, 2023
2
In
TDS Archive
by
Samuele Mazzanti
When You Should Prefer “Thompson Sampling” Over A/B TestsAn in-depth explanation of “Thompson Sampling”, a more efficient alternative to A/B testing for online learning
Jun 13, 2023
6
Jun 13, 2023
6
In
TDS Archive
by
TDS Editors
Thinking Outside Data Science’s Many BoxesOur weekly selection of must-read Editors’ Picks and original features
May 11, 2023
1
May 11, 2023
1
In
TDS Archive
by
Bex T.
GitHub For The Modern Data Scientist: 7 Concepts You Can’t .gitignoreExplained with a bit of fun, wit and visuals
May 17, 2023
6
May 17, 2023
6
In
Towards AI
by
Hitesh Hinduja
Comparative Analysis of Popular Statistical Tests: Which One to Use When?Let me begin by sharing my experience in detail. During my early years in the corporate world, my mentor imparted a piece of advice that…
Apr 18, 2023
Apr 18, 2023
In
TDS Archive
by
Sam Stone
Data Observability for Analytics and ML teamsPrinciples, practices, and examples for ensuring high quality data flows
Apr 6, 2023
Apr 6, 2023