Are you a student pursuing a Diploma in Artificial Intelligence under the K program and looking for the latest courses?
You have come to the right place! In this post, we have provided detailed information and free downloadable PDF of 313004 Data story telling and visualization K scheme syllabus for 2024 academic year.
Students I have also completed my Diploma in Artificial Intelligence. So, I know it was very difficult to find out the syllabus from the official website of Maharashtra State Board of Technical Education.
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List of units of Data story telling and visualization
- Unit – I Introduction to Data StoryTelling
- Unit – II Cluttering and Decluttering
- Unit – III The process of Storytelling
- Unit – IV Data Visualization
- Unit – V Visualizing Distributions and Proportions
Unit – I Introduction to Data StoryTelling
- 1.1 Concept / Importance of Context
- 1.2 Exploratory vs. explanatory analysis
- 1.3 Who – Your audience, You, What – Action, Mechanism, Tone, How, Example
- 1.4 What is Data Story, make a figure for the generals
- 1.5 The 3-minute story, Big Idea, Storyboarding.
- 1.6 Visual effects of Data Story Telling -Choosing an effective visual – Simple text, Tables, Graphs, Points, Bars – Vertical bar chart, Horizontal bar chart
Unit – II Cluttering and Decluttering
- 2.1 Clutter is our enemy – Cognitive load, Clutter
- 2.2 Introduction to Gestalt principles of visual perception
- 2.3 Decluttering: step-by-step
- 2.4 Focus audience’s Attention – Pre-attentive attributes signal where to look
- 2.5 Pre-attentive attributes in text and graphs : Size, Color, Position on page
Unit – III The process of Storytelling
- 3.1 Think like a designer-Affordances, Accessibility, Aesthetics, Acceptance
- 3.2 Dissecting model visuals – line graph, 100% stacked bars
- 3.3 Lessons in storytelling – The magic of story, Constructing the story, The narrative structure, The power of repetition, Tactics to help ensure that your story is clear
- 3.4 Pulling it all together for data storytelling
- 3.5 Final Thoughts – Where to go from here, Building storytelling with data competency in your team or organization
Unit – IV Data Visualization
- 4.1 Introduction: Ugly, Bad, and Wrong Figures
- 4.2 Visualizing Data: Mapping Data onto Aesthetics
- 4.3 Coordinate Systems and Axes
- 4.4 Directory of Visualizations
- 4.5 Visualizing Amounts – Bar Plots
- 4.6 Visualizing Distributions – Histograms and Density Plots. Empirical Cumulative Distribution Functions and Q-Q Plots
Unit – V Visualizing Distributions and Proportions
- 5.1 Visualizing Many Distributions at Once
- 5.2 Visualizing Distributions Along the Vertical Axis and Horizontal Axis
- 5.3 Visualizing Proportions: A Case for Pie Charts and Side-by-Side Bars
- 5.4 Titles, Captions, and Tables
- 5.5 Choosing the Right Visualization Software and Image file formats
- 5.6 Exploring free Data Visualization Tools for e.g. Tableau, Microsoft Power BI, Google Data Studio and Openheatmap
Laboratory Experiment / Practical Titles / Tutorial Titles
1.Identify a project you are working on where you need to communicate in a data-driven way. Reflect upon and write the answers to the following questions.
i) Who is your Audience?
ii) What does your audience care about?
iii) What action does your audience need to take?.
2.*Identify a project you are working on where you need to communicate in a data-driven way. Reflect upon and write the answers of following questions.
a) What is a Stake?
i) What are the benefits if your audience acts in the way that you want them to?
ii) What are the risks if they do not?
b) Form a Big Idea
i) Articulate your point of view.
ii) Convey what’s at stake.
iii) Be a complete (and single) sentence.
3.*Determine audience, communication mechanism,desired tone and Select effective Visuals for any incident
(Below is an example for reference only).Teacher shall allocate similar assignments.
i) Who is your Audience?
ii) List the primary groups or individuals to whom you’ll be communicating.
iii) If you had to narrow that to a single person, who would that be?
iv) What does your audience care about?
v) What action does your audience need to take?.Example: Buses Bunching – Make a data story on bus bunching, (Bus Bunching means when a bus gets delayed and later causes multiple buses to arrive at a single stop at the same time.
4.*Make a clutter free Data Story on any incident.
i) Identify and eliminate clutter.
ii)Select suitable pre-attentive attributes.
iii)Explore affordances, accessibility, and aesthetics as per designers view.
5.Create a simple video (up to 3 minutes) telling a story on incidence given in Practical no.3.
6.*Create a data story for Vehicle(Bicycle/Bike/Car/Bus etc.) Rental System.
(Below is an example for reference only).Teacher shall allocate similar assignments.
Example: Create a data story with respect to the following observations:
i)What are the most popular pick-up locations across the city for Citi Bike rental?
ii)How does the average trip duration vary across different age groups, and over time?
iii)Which age group rents the most bikes?
iv)How does bike rental vary across the two user groups (one-time users vs. long-term subscribers) on different days of the week?
v)Do factors like weather and user age impact the average bike trip duration?
7.*Create a video (up to 5 minutes) telling a story on given Incidence. Record a video of yourself speaking, or narrate while showing visual props or sketches, or screencast a PowerPoint presentation, etc. Choose how you present the story. Produce a single video file (formatted as a .mov file)
Teacher shall suggest various incidents to the students.
8.Create a bar chart for data visualizations on Practical No. 6.
9.*Construct a Case study on data storytelling for any Musical/Social App.
Example: Spotify takes the data from our listening habits and spins it into an exciting audio and visual experience.Teacher shall allocate similar case study.
10.*Implementation of a python program that performs data cleaning on any dataset.
11.Create Bar chart for data visualization using Single distribution.
Example: Histogram of the ages of the train/flight passengers.Teacher shall allocate similar assignments.
12.Develop a worksheet, add filters and create chart using dataset by using any Visualization tool.
13.* Create Bar chart for data visualization using Many distribution.
Example: Histogram of the gender and ages of the train/flight passengers.Teacher shall allocate similar assignments.
14.Implementation of a python program that loads a dataset and plot grouped bars.
15.Implementation of a python program that loads any dataset and plot a pie chart.
| Sr.No | Units | Weightage |
|---|---|---|
| 1 | Unit – I Introduction to Data StoryTelling |
0 |
| 2 | Unit – II Cluttering and Decluttering |
0 |
| 3 | Unit – III The process of Storytelling | 0 |
| 4 | Unit – IV Data Visualization | 0 |
| 5 | Unit – V Visualizing Distributions and Proportions | 0 |