Courses
All
Data Storytelling
Excel
TIBCO Spotfire
Python (Plotly | Dash)
DOMO
Power BI
Tableau Public
R Shiny
Amazon QuickSight
Qlik Sense
Community
Blog
Events
Conference
Calendar
About
About
Contact
Log in
Sign up
Blog
An Intro to Data in Under 2 Minutes
Master Git for effective implementation of version control for your programming projects
Lessons learned in a data consulting company
Anatomy of a decision: the absolutely crucial ingredients you need, to go from data to action
Data Science & Critical Thinking with Deborah Berebichez
Cultural Challenges that Organizations Face in Becoming 'Data-Driven' with Randy Bean
How to BE DATA LITERATE with Jordan Morrow
Step-by-Step Method for Building a Brand in Data Science with Kirill Eremenko
Build vs. Buy: Why Companies Should Buy Their Next Software Solution
Turning the Lights On Data with George Firican
Data Entrepreneurship Journey with Andreas Kretz & Kate Strachnyi
Recess in the AI Playground with Ian Kelk from Clarifai
Demystifying the Modern Data Stack with Alex Thor from Astrato Analytics
Data Careers Panel: CTRL + SHIFT + ENTER
Journey to Data Enablement in Fortune 500 Companies (with McDonald's & Alteryx)
Leadership in Enterprise Data Mesh with Jack Steele from Zetaris
Top 5 Skills for Data Scientists with Matt Dancho
Breaking into Data Science and Sports Analytics with Ken Jee
International Women's Day: Data Voices 2022
Data Storytelling with Cole Nussbaumer Knaflic
11-year-old robotics prodigy - Mike Wimmer
Dataware for Zero-Copy Integration with Dan DeMers from Cinchy
7 ‘Must Attend’ Data Conferences of the Year
Making the business case for data observability with Rohit Choudhary - CEO of Acceldata
My Ground Rules - Data Analysis “Before & After”
The trend which will have an impact on all future AI
Data use in care
Conversational AI
A One in a Billion Face
What I learned from over 100 Data Science Interviews at Amazon
Automation and Displacement: The Economic Fears of AI
Difference between Machine Learning and Deep Learning
A Human Journey
ML v DL
Deep is a way for Machines to learn to provide AI capabilities
Machine Learning vs Deep Learning
A Tale of Two Feature Engineers: Machine Learning vs Deep Learning
Learning: Machine vs Deep
ML vs DL
ML vs DL
Difference between Machine Learning and Deep Learning
The sense behind the data
Kate Strachnyi's 20 Books for 2020
20 SMART Goals for 2020
ODSC WEST 2019 RECAP
Imported item 336
Imported item 335
2019 Year in Review - Kate Strachnyi
5 Reasons to Learn R Programming
20 Data Trends for 2020
3P Strategy to be a successful for entry-level programmers
How to become a skilled programmer?
Advice to entry level programmers - My two cents worth
Advice to Entry Level Programmers
Thinking in code
New to Programming - Learn, Help and Seek
Keys for Improving Predictive Analytics in Finance
Sharing Views
Most common mistakes people make when working with data
Common mistakes when working with data
Leaving Data on the Battlefield
Bloopers to overcome when you start cooking with data
What are some common mistakes people make when working with data?
Common mistakes while working with data
Customer Behavior and Persona Design
The Good, the Bad and the Ugly of the 4IR
Advantages and Disadvantages of the 4th Industrial Revolution
Pros and cons of the 4IR
Revolution 4.0
Fourth Industrial Revolution Implications
7 tips to make the most out of a data science conference
The Power of YES!
Tips of the week
How can I use Slack to effectively engage conference attendees?
Do's and Don't for Conferences
The 4P strategy – tips to attend a Data Science conference
How to network at a data science conference if you are broke and an introvert
A life skill you must have
Useful statistical knowledge for clustering
Pandas, Pandas, Pandas
Skills I wish I knew before!
What do you wish you had learn early on ?
SME(CVM,Data Analytics, Data Analyst)
Data skills wish knew early on in my career
Statistics really???
Python and The Beautifully Ridiculous Irrationality of Human Choice
Dear Python
What data skills do you wish you had learned early on?
Must have Data skills
Data
🍁 SEPTEMBER GOALS Progress Tracker 2019 🍁
Cloudy with a Chance of... Pizza?
Effective process for creating data visualizations/dashboards.
Ingrid's Process for creating Data Visualizations
Creating data visualizations
Building Effective Visualizations – A Brief Glimpse of your Data
Story-telling through Dashboard's/ Visuals
Visualisation best practice
Workflow for creating data visualizations/dashboards
Describe your process/ work-flow for creating data visualizations / dashboards
.png)
