Data Analytics Projects Ebook

Learn Data Analytics by Building Projects

Learn Data Analytics by doing 30+ Projects from Beginner to Advanced level all with code explanation.

Buy Now
  • Self Paced Ebook
(4.5 ratings)
☆☆☆☆☆ 4.5/5

Data Analytics Projects Ebook

Rs. 149    Rs.999
Buy Now
    • Explore 30+ data analytics projects, categorized into beginner, intermediate, and advanced levels.
    • Projects cover essential skills like data cleaning, visualization, and predictive modeling.
    • Each project is designed to enhance your knowledge across diverse industries, including sports, finance, health, and entertainment.
    • The course offers a structured, hands-on approach to mastering data analytics through practical, real-world applications.
    • Bonus Material: Get 300+ Most Important AI Prompts for Data Analysts.

Comprehensive Understanding of Data Analytics

  • Master the fundamentals of data analytics, including data cleaning, manipulation, visualization, and statistical analysis.

 

Domain-Specific Insights

  • Gain hands-on experience across various domains:
    • Sports Analytics: PyCrickPulse, PyOlympicStats
    • Finance & Cryptocurrency: PyCryptoPulse, PyStockDash
    • Entertainment: PyCineMetrics, PyMusicTrends
    • Health & Wellness: PyGlucoPulse, PySleepInsight
    • Aviation and Travel: PyFlightAnalytics

 

Practical Machine Learning Applications

  • Learn to implement and evaluate machine learning models for predictive analytics:
    • Predict movie ratings, forecast stock prices, and analyze student performance.

 

Hands-On Experience with Real-World Datasets

  • Work with a variety of datasets:
    • Weather data, flight data, cricket match statistics, sales reports, and more.
    • Learn to collect, process, and analyze data to derive meaningful insights.

 

Data Visualization Skills

  • Master visual storytelling with impactful charts, graphs, and heatmaps to showcase data insights.

 

API Integration for Live Data

  • Learn how to integrate APIs for real-time data collection:
    • Examples include weather forecasting, flight analysis, and news sentiment analysis.

 

Python Programming for Data Analysis

  • Solidify Python skills by working with essential libraries:
    • Pandas, Matplotlib, Seaborn, Scikit-learn, and Requests (for web scraping and data manipulation).

 

Project-Based Learning

    • Build a portfolio of data-driven projects to showcase proficiency across multiple industries, ideal for sharing with employers or clients.

This is a Self Paced Ebook where the learners will have access to the contents for a lifetime after purchase.

After Completing this course, Showcase your skills by uploading your Certification of Training on LinkedIn to attract Recruiters.

 

Interested for Job Guarantee Program?

Learn more about Python programming and Data Science, Join our Job Guarantee Program for Data Science and get a placed at Top MNCs.


To know more Contact Us at 7827276670

Course Curriculum

Learning shouldn't feel like homework.

Our curriculum is like your favorite mentor in a box: engaging, practical, and packed with real-world insights. Be future-ready in no time with expert guidance, bite-sized lessons, and hands-on challenges that will make you a pro, fast!

PyAttritionInsight

PyAviationMetrics

PyBnBAnalyzer

PyCineMetrics

PyClothingPulse

PyCrickPulse

PyCrimePulse

PyCryptoPulse

PyEduPredict

PyFlightAnalytics

PyGlucoPulse

PyLapDataScrapper

PyMemes

PyMovieSentiment

PyMusicTrends

PyNetTrends

PyNewsMiner

PyNewsVision

PyOlympicStats

PyPopulationPulse

PyPunchLine

PyQuoteDig

PyRecipeFusion

PySalesDynamics

PySleepInsight

PyStockDash

PyTitanicPulse

PyVidStats

PyWeatherForecast

PyWorldInsight

300+ Most Important AI prompts for Data Analysts

Certificate of Completion

Flaunt it! Earn a certificate that validates your expertise.

Don't just learn, prove it! These credentials will set you apart from the competition and showcase your dedication to professional development.

What Our Learners Say!

Reyansh Gupta M. Tech Final Year Student

The Education Diary’s hands-on approach really helped me grasp the concepts. The courses are interactive and encourage active learning, which kept me engaged and motivated. The live Q&A sessions with instructors were also incredibly helpful.

Arpita Jain Working Professional

As a busy working professional, I needed a flexible and convenient way to upskill. The Education Diary’s recorded courses were perfect! I could learn at my own pace. The platform is user-friendly and the content is high quality. Highly recommended!

Shaurya Sharma BCA Second Year Student

The hands-on courses are engaging and effective, and the live classes offer valuable interaction with instructors. I appreciate the variety of study materials, from recorded lectures to downloadable resources. It’s like personalized learning.

Aman B. Tech Final Year Student

I consider The Education Diary to be one of the best learning platforms I’ve encountered during my learning phase. The instructor provided excellent guidance at every level, including the basics of JavaScript. Additionally, all the team members of ED and the instructor were very cooperative.

Himanshu Singh B. Tech Second Year Student

Education Diary surprised me with its exceptional support throughout my coding journey. The instructors’ clear explanations were invaluable, even at the beginner level. The entire team went above and beyond to ensure my success. This is one of the best courses that I have come across.

Frequently Asked Questions

These projects are suitable for beginners to intermediate-level data analysts. A basic understanding of Python programming, data handling with libraries like Pandas, and familiarity with data visualization tools such as Matplotlib or Seaborn is recommended.

The projects aim to:

  • Provide domain-specific insights through data analysis.
  • Implement predictive models where applicable.
  • Visualize trends and patterns using data visualization tools.
  • Teach data manipulation, analysis, and model evaluation techniques.

Each project includes an introduction, a list of required libraries, step-by-step implementation instructions, code snippets, and explanations. Some projects also include screenshots or diagrams to illustrate the concepts.

Absolutely! These projects are meant to be a starting point. You are encouraged to modify, extend, and customize them to suit your needs and enhance your learning experience.

Yes, each project includes complete sample code that you can use and modify. This will help you understand the implementation and allow you to experiment with your own ideas.

You can reach out to our support team via email or through our website’s contact form.

Yes, you will need to have Python installed on your computer along with the necessary libraries for each project. The PDF provides instructions on how to install these libraries using pip.

Yes, many of the projects are designed to be portfolio-worthy. Completing these projects can demonstrate your skills to potential employers or clients.