Help
Product Image

Analytics Storytelling for Impact

In this analytics storytelling course, you'll learn effective strategies and tools to master data communication in the most impactful way possible--through well-crafted analytics stories.

Self-Paced

Learning Style

Microsoft

Provider

Intermediate

Difficulty

2 Hours

Course Duration

Course Info

Download PDF

Certificate

See Sample

Subscribe Buy Individually Timezone
tab
About Individual Course:
  • Individual course plan gives you access to this course
$99.00
/ Each

When you subscribe, you get:
Master Subscription plan gives you access to this course and over 1138 other popular courses
On Sale!
Now Only $2,999.00 Regular Price $3,499.00
Now Only $2,999.00 Regular Price $3,499.00
/ Year

You have already taken demo for this course.

If you want to get access to demo again, feel free to contact our support at (855) 800-8240
In this analytics storytelling course, you'll learn effective strategies and tools to master data communication in the most impactful way possible--through well-crafted analytics stories.

Course Information

About this Course:

All analytics work begins and ends with a story. Storytelling with data is the analytics professional's missing link in delivering the essence of date signals and insights to executives, management, and other stake holders. You'll explore what a story is and, perhaps more importantly, what a story is not. Find out how stories create value and why they matter. Learn to craft stories, command the room, finish strong, and assess your impact. Get practical help applying these ideas to your data analytics work. Plus, you'll earn guidelines and best practices for creating high-impact reports and presentations.

Course Objectives:

  • How to apply storytelling principles to your analytics work
  • How to improve your analytics presentations through storytelling
  • Guidelines and best practices for creating high-impact reports and presentations

Audience:

  • Corporate data scientists

Prerequisites:

  • One of the following courses or equivalent knowledge and skills: Analyzing and Visualizing Data with Excel or Analyzing and Visualizing Data with Power BI Working knowledge of PowerPoint.

Outline

More Information

More Information
Brand Microsoft
Subjects Business Productivity
Lab Access No
Learning Style Self-Paced Learning
Learning Type Course
Difficulty Intermediate
Course Duration 2 Hours
Language English

Financing

Monthly Payments With Affirm

QuickStart and Affirm have teamed up to offer you financing, allowing you to pay off your purchase over time, on your own terms. Simply select Affirm in checkout, and you will need to take a few moments to fill out some information for a real-time decision. Checking your eligibility and terms won't affect your credit score. Once you are qualified, you will have the option to choose from 3, 6, 12, 18 or 26-month financing terms*, with each term clearly showing your monthly payment. No hidden fees or costs! it's that simple!


Rates are between 0-30% APR. As an example, a $700 purchase might cost $63.24/mo for 12 months at 15% APR. A down payment may be required. Subject to eligibility check and approval. Payment options depend on your purchase amount. Estimated payment excluded taxes and shipping fees. Paid interest is nonrefundable. Actual terms may vary. Payment options through Affirm are provided by these lending partners: affirm.com/lenders. Visit affirm.com/help for more info.

Reviews

Write Your Own Review
Only registered users can write reviews. Please Sign in or create an account

Course Expert:

Author

Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

click here