TechnoHacks Solutions

Data Analytics Tasks – TechnoHacks Internship

Welcome to the Data Analytics Internship! This program is designed to enhance your skills in data analysis, focusing on beginner-friendly tools like Excel, Power BI, and Tableau. Through practical tasks, you will gain hands-on experience that prepares you for real-world data analytics challenges. Remember to complete at least two tasks and share your work on social media!


NoticeComplete a minimum of 2 tasks from the tasks listed below.


Task 1: Data Entry and Basic Functions in Excel

Problem Statement:
Familiarize yourself with Excel by entering data and using basic functions.

Steps to Complete:

  1. Create a new Excel workbook.
  2. Enter a sample dataset (e.g., sales data, student grades).
  3. Use basic functions such as SUM, AVERAGE, and COUNT to analyze the data.

Tools/Datasets/Platforms:

  • Microsoft Excel.

You can use any dataset of your choice.

How to Submit:

  • Record a video demonstrating your data entry and function usage.
  • Upload the video to LinkedIn or YouTube.
  • Tag the following in your post:
  • Submit the video link in the submission form.

Task 2: Creating Charts in Excel

Problem Statement:
Visualize data using different chart types in Excel.

Steps to Complete:

  1. Using the dataset from Task 1, create at least three different types of charts (e.g., bar chart, pie chart, line chart).
  2. Label your charts clearly and provide a brief analysis of what they represent.

Tools/Datasets/Platforms:

  • Microsoft Excel.

You can use any dataset of your choice.

How to Submit:

  • Record a video showcasing your charts and analysis.
  • Upload the video to LinkedIn or YouTube.
  • Tag the following in your post:
  • Submit the video link in the submission form.

Task 3: Introduction to Data Cleaning in Excel

Problem Statement:
Learn the basics of data cleaning using Excel.

Steps to Complete:

  1. Import a sample dataset with errors (e.g., duplicate entries, missing values).
  2. Identify and correct these errors using Excel functions like REMOVE DUPLICATES, TRIM, and FIND & REPLACE.
  3. Save the cleaned dataset.

Tools/Datasets/Platforms:

  • Microsoft Excel.

You can use any dataset of your choice.

How to Submit:

  • Record a video demonstrating your data cleaning process.
  • Upload the video to LinkedIn or YouTube.
  • Tag the following in your post:
  • Submit the video link in the submission form.

Task 4: Creating Interactive Dashboards in Excel

Problem Statement:
Build an interactive dashboard using Excel.

Steps to Complete:

  1. Create a summary of your dataset using PivotTables.
  2. Use slicers to create an interactive element in your dashboard.
  3. Design the dashboard layout for clarity and ease of use.

Tools/Datasets/Platforms:

  • Microsoft Excel.

You can use any dataset of your choice.

How to Submit:

  • Record a video demonstrating your interactive dashboard.
  • Upload the video to LinkedIn or YouTube.
  • Tag the following in your post:
  • Submit the video link in the submission form.

Task 5: Data Visualization with Power BI

Problem Statement:
Create basic visualizations using Power BI.

Steps to Complete:

  1. Import a sample dataset into Power BI.
  2. Create at least three different visualizations (e.g., bar chart, line chart).
  3. Design a simple report showcasing your visualizations.

Tools/Datasets/Platforms:

  • Power BI.

You can use any dataset of your choice.

How to Submit:

  • Record a video showcasing your Power BI report and visualizations.
  • Upload the video to LinkedIn or YouTube.
  • Tag the following in your post:
  • Submit the video link in the submission form.

Task 6: Building a Dashboard in Power BI

Problem Statement:
Design an interactive dashboard in Power BI.

Steps to Complete:

  1. Use a dataset to create a dashboard with multiple visualizations.
  2. Include interactive elements such as filters and slicers.
  3. Publish your dashboard for sharing.

Tools/Datasets/Platforms:

  • Power BI.

You can use any dataset of your choice.

How to Submit:

  • Record a video demonstrating your Power BI dashboard.
  • Upload the video to LinkedIn or YouTube.
  • Tag the following in your post:
  • Submit the video link in the submission form.

Task 7: Data Visualization with Tableau

Problem Statement:
Create visualizations using Tableau.

Steps to Complete:

  1. Load a sample dataset into Tableau.
  2. Create at least three different types of visualizations (e.g., bar, line, pie).
  3. Assemble the visualizations into a simple dashboard.

Tools/Datasets/Platforms:

  • Tableau.

You can use any dataset of your choice.

How to Submit:

  • Record a video showcasing your Tableau visualizations and dashboard.
  • Upload the video to LinkedIn or YouTube.
  • Tag the following in your post:
  • Submit the video link in the submission form.

Task 8: Creating a Story with Data in Tableau

Problem Statement:
Tell a story using data visualizations in Tableau.

Steps to Complete:

  1. Use a dataset to create a series of visualizations that lead to a conclusion.
  2. Add annotations and text to guide the viewer through your story.
  3. Publish your story as a Tableau Public link.

Tools/Datasets/Platforms:

  • Tableau.

You can use any dataset of your choice.

How to Submit:

  • Record a video presenting your data story in Tableau.
  • Upload the video to LinkedIn or YouTube.
  • Tag the following in your post:
  • Submit the video link in the submission form.

Task 9: Introduction to Data Analysis Concepts

Problem Statement:
Understand and explain basic data analysis concepts.

Steps to Complete:

  1. Research fundamental data analysis concepts (e.g., descriptive statistics, data types).
  2. Prepare a short presentation summarizing your findings.
  3. Include examples of how these concepts apply to real-world scenarios.

Tools/Datasets/Platforms:

  • Any presentation software (PowerPoint, Google Slides).

You can use any dataset of your choice.

How to Submit:

  • Record a video presenting your data analysis concepts.
  • Upload the video to LinkedIn or YouTube.
  • Tag the following in your post:
  • Submit the video link in the submission form.

Task 10: Exploring Data Insights

Problem Statement:
Analyze a dataset and identify key insights.

Steps to Complete:

  1. Choose a dataset and perform a basic analysis.
  2. Use Excel, Power BI, or Tableau to find trends and insights.
  3. Prepare a report summarizing your findings.

Tools/Datasets/Platforms:

  • Excel, Power BI, or Tableau.

You can use any dataset of your choice.

How to Submit:

  • Record a video presenting your insights and analysis.
  • Upload the video to LinkedIn or YouTube.
  • Tag the following in your post:
  • Submit the video link in the submission form.

Task 11: Preparing a Data Analytics Portfolio

Problem Statement:
Create a portfolio showcasing your data analytics work.

Steps to Complete:

  1. Compile your work from previous tasks into a single document or presentation.
  2. Include descriptions, visualizations, and key insights.
  3. Share your portfolio with peers and mentors for feedback.

Tools/Datasets/Platforms:

  • Any document or presentation software.

You can use any dataset of your choice.

How to Submit:

  • Record a video showcasing your portfolio.
  • Upload the video to LinkedIn or YouTube.
  • Tag the following in your post:
  • Submit the video link in the submission form.

Task 12: Capstone Project

Problem Statement:
Design and implement a comprehensive data analytics project.

Steps to Complete:

  1. Choose a real-world problem to solve using data analytics.
  2. Apply all stages from data collection to reporting.
  3. Present your findings and insights in a comprehensive report.

Tools/Datasets/Platforms:

  • Excel, Power BI, Tableau, or any other analytics tool.

You can use any dataset of your choice.

How to Submit:

  • Record a video presentation of your capstone project.
  • Upload the video to LinkedIn or YouTube.
  • Tag the following in your post:
  • Submit the video link in the submission form.

Conclusion

This internship aims to provide a comprehensive experience in data analytics through practical tasks and projects. Engage with your mentors and peers, and make the most of this learning opportunity!

Thank you!

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