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"Demystify Data Analytics: How You Can Take Your First Steps with Smart Prompting and AI Tools." 👩‍💻🤖

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Do you have an overwhelming feeling when learning about tools, code, and complex processes of data analytics? What if you could simply learn it in plain English and gain meaningful insights? 

In today’s data-fueled world, data is often referred to as the new currency that impacts every aspect of our lives, influencing our decision-making, productivity, problem-solving, and more.  

Getting started with data analytics may seem daunting, but it’s really just about asking smart questions to start with smart prompting.  

This content introduces prompts to leverage AI for data analysis in a more accessible way.  

 

  1. 1. AI-powered Analytics with Smart Prompting 

AI-powered analytics is just like having a smart assistant for your data. It leverages artificial intelligence (AI) to analyze data quickly, identify patterns, find insights, and make predictions.  

For example, by understanding customer behaviour through data-driven analysis, Netflix can recommend personalized movies tailored to each customer’s preferences, and businesses can predict what customers want.  

In particular, AI-powered analytics involves Natural Language Processing (NLP), enabling computers to interpret human language. This allows users to interact with AI in a user-friendly way. Thus, using prompts allows you to interact with data tools without needing to write complex code. 

 

2. Why Prompting Is a Game-changer For Beginners 

Here are the benefits of prompting your data journey: 

  • - Accessibility: Reduces the barrier to entry. 

  • - Speed and Efficiency: Get faster answers to your data questions. 

  • - Ease of Exploration Encourages more experimentation and asking follow-up questions. 

  • - Focus on Insights: Allows users to focus on understanding the data insights. 

  • - Learning tool: Help users understand the types of questions to ask and how data can offer solutions. 

 

3. Tips for Talking to AI about Data: Crafting Your First Prompts  

Smart prompting involves asking clear and specific questions to direct AI tools in generating the desired output. It’s simply the instructions provided to the AI tool using a natural language model. 

  • - Keep it Clear and Specific: Be precise; avoid ambiguity. 

  • - Tell the AI What You Have: Briefly describe your data. 

  • - Tell the AI What You Want: Clearly state the analysis or information you are looking for. 

  • - Specify the Desired Output: Mention how you would like the answer. 

  • - Start Simple: Provide simple examples of effective prompts.  

 

4. What Kind of Questions Can You Ask? 

Provide basic examples of data analysis tasks with prompting: 

  • - Summarizing Data: “What is the average age of our customers?” 

  • - Finding Trends or Patterns: “Show me the sales trend over the past year.” 

  • - Comparing Groups: “Compare the performance of two different marketing campaigns.” 

  • - Identifying Key Figures: “Which is our best-selling product?” 

  • - Generating Simple Visualizations: “Create boxplots of outliers in numerical features in the data.” 

 

5. Getting Started with AI-powered Data Tools 

Here is a step-by-step guideline for mini projects: 

  1. 1. Upload a small dataset file (Google Sheets or Excel). 

  1. 2. Use prompts to answer questions about patterns, trends, and outliers. 

  1. 3. Ask AI assistants like ChatGPT, Gemini, Copilot, etc., to help summarize insights. 

🛠️ Use free tools like Google Sheets, ChatGPT, and Kaggle Datasets. 

🔹Hands-on practice with a small project: 🐟 Fish Market dataset from Kaggle 

1️⃣ Step 1: Upload the dataset into ChatGPT 🤖 

 

This dataset contains data on seven different species of fish and their corresponding physical measurements. It is structured in 7 columns and 159 rows.  

The goal of this project is to gain key insights through data analysis, conduct statistical analysis, explore the distribution of fish species, and examine correlations between fish measurements.  

2️⃣ Step 2: Use prompts to ask questions to the AI assistant 🤖 

👩‍💻 Prompt 1: “What are the descriptive statistics in the dataset? Display them in a table.”

🤖 AI output: 

👩‍💻 Prompt 2: “Provide a visual summary with a boxplot of the descriptive statistics.”  

(To identify outliers in fish body measurements)

🤖 AI output: 

👩‍💻 Prompt 3: “What is the distribution of each fish species in the dataset? Display it with a bar chart.”

🤖 AI output: 

👩‍💻 Prompt 4: “What is the correlation between fish body measurements? Display it using a heatmap.” 

🤖 AI output: 

👩‍💻 Prompt 5: “What are the key insights in the dataset? Structure them with bullet points.” 

🤖 AI output:

👉 The AI tool for this project is ChatGPT & a dataset from Kaggle 

Final Thoughts: Collaborate with AI 

AI tools are transforming the way we work in a user-friendly manner. AI delivers insights through rapid data analysis within seconds. Undoubtedly, it’s an incredible, powerful tool. 🚀 

However, it is important to understand how AI works and what the answers generated from AI mean within a specific context. Reviewing and interpreting AI-generated results with critical thinking is essential. Consider AI as an assistant tool to boost your data analysis skills, but do not solely rely on it. 

Start by using beginner-friendly tools and foster curiosity by asking clear questions.  

Take your first step by trying a prompt with a small dataset! 🧠 

Share your experience with data prompting in the comments below! 


🔔Subscribe for more insights!

🔹Always welcome constructive feedback or opinions. Happy reading!

🔗Connect with me:

👩‍💻 LinkedIn 👩‍💻 Kaggle 👩‍💻 Medium 👩‍💻 Instagram 👩‍💻 Substack 👩‍💻 X

















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