Post on 30-Jun-2020
DataCamp Customer RoadmapWelcome and thank you for joining us today
The webinar will start very soon
DataCamp Customer RoadmapQ2 2020
04/29/2020Jacob Moody, Catherine Powers, Alex Blackman, Richard Cotton
Let us be your guides for this webinar
We’ve invited members from our
Customer Success, Marketing, Product,
and Content team to join you today
Cat Powers Alex Blackman
Jacob Moody Richard Cotton
Please share your questions in the chat
Our agenda
● Introduction: Where we are going
● What’s new for learners, admins, and exec sponsors?
● Your questions
Does your training get left
off the map?
Financial forecast is set
Hiring plans in place
Product development is on track
What does your L&D plan look
like and are you on track?
?
?
Many businesses are unable to track the
effectiveness of their learning and development
programs. Everything is disconnected.
DataCamp makes it possible to connect the dots, and structure
and measure your programs.
Our mission is to democratize data science education by
building the best platform to learn and teach data skills
Enterprise Plan OverviewWhat’s new?
You asked us for clearer benchmarks and greater customization for tracks
Admins: Custom tracks and assessments
Build a structured training
program that includes objective
skill assessments.
Ideal for assessing new staff,
benchmarking your team, and
showing the ROI of DataCamp.
Learners:Fast forward your learning
Learners will have the option
to skip courses that are not
relevant by demonstrating
prior knowledge of the
material by taking a Signal skill
assessment.
Learners: Embedded projects in tracks
Reinforce learning through
the completion of projects.
Learners can apply their newly
acquired skills in a less
structured environment.
335+ courses, and growing
We’re pleased to share some of the new and upcoming courses that you will be able to share with your teams to help them become more data fluent
Responsibilities:Accounting, Banking, Finance,
Investment, ****
Skills:Quantitative Risk Management,
Value-at-risk, ****
Technologies:Python, ****
Live: Data Visualization for Everyone
Visualizing data using charts, graphs, and maps is an impactful
ways to communicate complex data. Learn how to:
➔ Interpret the most common plot types
➔ Choose a plot type to answer data questions
➔ Determine when plots are misleading
Skill level:Beginner / refresher
Course length:4 hours
Technologies:BI platforms and Python/R
dashboards
Key skills:Interpreting and
presenting data Learn more on DataCamp
Responsibilities:Accounting, Banking, Finance,
Investment, ****
Skills:Quantitative Risk Management,
Value-at-risk, ****
Technologies:Python, ****
Live: Data Analysis in Excel
There’s a lot more to Microsoft Excel than SUM and COUNT.
In this course your team will learn how to:
➔ Apply time-saving keyboard shortcuts
➔ Use 35 functions, incl’ CONCATENATE, VLOOKUP, AVERAGEIF(S)
➔ Convert and clean data types including text, times, & dates
andates
Skill level:Intermediate
Course length:4 hours
Technologies:Excel, Spreadsheets
Key skills:Building logic and
conditional aggregations Learn more on DataCamp
Responsibilities:Accounting, Banking, Finance,
Investment, ****
Skills:Quantitative Risk Management,
Value-at-risk, ****
Technologies:Python, ****
Coming soon: Reporting with R Markdown
R Markdown allows teams to automate recurring reporting and
also reduces the risk of reporting errors. Learn how to:
➔ Saves time by automating reports
➔ Include analyses and visualization in your reports
➔ Personalize reports with your brand’s fonts and colors
Skill level:Intermediate
Course length:4 hours
Technologies:R, Jupyter Notebook
Key skills:Automation of reporting,
analysis, visualization Learn more on DataCamp
Responsibilities:Accounting, Banking, Finance,
Investment, ****
Skills:Quantitative Risk Management,
Value-at-risk, ****
Technologies:Python, ****
Coming soon: Introduction to Power BI
Transform how everyone in your organization use Power BI to
view and interpret your business data. Learn how to:
➔ Navigate this user friendly, drag and drop platform
➔ Change raw data into impactful visualizations
➔ Add calculated columns and measures to reports
Skill level:Beginner / refresher
Course length:4 hours
Technologies:Machine learning, AI,
Spreadsheets,Python...
Key skills:Making better, more data-
driven decisions with data Learn more on DataCamp
Q&A
Thank you
Cat, Alex, Jake, and Richie
Enterprise Plan OverviewAppendix
How to boost engagementDataCamp Admin guide
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