Outline DS Portfolio Accelerator Course Outline 1. Data Sets and Tools How to select a suitable dataset Downloading and importing data Sourcing datasets: advantages and disadvantages of different options Exploring and cleaning data Handling NAs and missing values Identifying data patterns Deciding when to remove data 2. Organization and Planning What to use and what to ignore? Evaluating dataset potential Conducting preliminary analysis 3. Analysis and Extraction of Insights How to run a preliminary analysis Effective information gathering Identifying key insights 4. Data Visualization Selecting appropriate visualizations Presenting results effectively Distinguishing shareable findings 5. Storytelling Uncovering the data narrative Crafting a compelling story Building a strong storytelling foundation Defining your target audience Crafting a clear project objective Structuring your portfolio for maximum impact 6. Sharing and Uploading Choosing the best free and paid platforms to showcase your portfolio Where, how and what to share? Content creation, tips for introverts