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Data Analysis Projects

star 4.46  Beginner level 1.5 learning hrs 50.9K+ Learners

Enroll in this online free Data Analysis Projects course and learn to develop applications from scratch. Enhance your skills to build efficient projects through analyzing data for productivity and business gains.

Instructor:

Ms. Sampriti Chatterjee

Data Analysis Projects

star 4.46  Beginner level 1.5 learning hrs 50.9K+ Learners
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Skills you will gain

Data Analysis

Data Projects

Uber Data Analysis

Indian Education System

Indian Food Analysis

Amazon Bestselling Books

Data Science Applications

Data Analytics

Data Visualization

Business Analysis

Resume Building

Interview Preparation

+6 More

Key Highlights

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Master in-demand skills & tools

Test your skills with quizzes

About this course

The Data Analysis Projects course is designed to employ you with the best way to learn data analytics. This course demonstrates projects on Uber, Indian Education Analysis System, Indian Food Analysis, and Top Selling Books on Amazon to give you a headstart for developing applications on Data Science and increase your visibility through your resume, and improve your skills to crack interviews. These projects guide you to learn the concepts better. Take up the quiz to complete the course and avail the certificate. 

You can enroll in the Data Science courses after this free, self-paced, beginner's guide to Data Analysis Projects to embark on your career. Learn and earn a Post-Graduate Certificate with millions of aspirants across the globe!

 

Stand out with an industry-recognized certificate

Start learning

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Certificate Image

Course outline

Uber Project

This section begins by helping you understand to import different libraries. It illustrates a project on Uber using data and cab datasets.

Analysis of Indian Education System

This section illustrates the Indian Education System using the exploratory data analysis method with Google Colab. It uses the Indian School Education Statistics dataset from Kaggle to work with the project. 
 

Top 10 Indian Food Analysis

You will understand working with both continuous and discrete datasets from Kaggle to analyze the top 10 Indian Food Analysis.

Data Analysis of Amazon top 50 selling books

This section illustrates a project on Amazon’s Top 50 selling Books for 10 years. The project is demonstrated using Google Colab. 

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Data Analysis Projects

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1.5 Hours

Beginner

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Reviewer Profile
SUMEDH. KADAM

5.0

★★★★ ★
India
“Mastering Data Analysis: My Journey Through Real-World Projects”
I gained hands-on skills in analyzing complex datasets, applying statistical methods, and deriving actionable insights. The project-based approach allowed me to tackle real-world problems, enhancing my proficiency in data visualization and interpretation. Overall, the course significantly bolstered my confidence in using data to drive informed decisions and solve intricate analytical challenges.
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Reviewer Profile
DINESH D

4.0

★★★ ★ ☆
India
“Exploratory Data Analysis Projects”
Exploratory Data Analysis (EDA) projects are a great way to practice data science, develop critical analytical skills, and gain insights from data.
Read More
Reviewer Profile
Rahul Kumar

4.0

★★★ ★ ☆
India
“Applying Theoretical Knowledge to Real-World Data”
I enjoyed the hands-on experience of working with actual datasets, which helped me develop a deeper understanding of data cleaning, analysis, and visualization. Learning to use tools like Python in a project context was invaluable, as it gave me practical skills that I can apply in future roles in data analytics.
Read More
Reviewer Profile
Sreethar M B

5.0

★★★★ ★
India
“Data Analysis Using Python & Dataset Exploration”
Thank you for providing an amazing platform to recall my skills.
Read More
Reviewer Profile
Shweta Deshmukh

5.0

★★★★ ★
India
“Amazing Session: Valuable Learning Opportunity”
It was amazing. The session is valuable. Thank you so much for this great opportunity to learn about Data Analytics Projects.
Read More
Reviewer Profile
Sashi Kant Prasad

4.0

★★★ ★ ☆
India
“Data Science: Extracting Meaningful Information”
Data science is a process to get some meaningful information from the massive amount of data. In simple terms, read and study the data to get proper intuitive insights. Data Science is a mixture of various tools, algorithms, and machine learning and deep learning concepts to discover hidden patterns from the raw and unstructured data.
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Reviewer Profile
Atul Singh

5.0

★★★★ ★
India
“Great Experience Learning Data Analytics Project”
I'm glad you had a great experience with your data analytics project! Data analytics is a powerful field that combines data science, statistics, and business intelligence to derive meaningful insights from data. Key Aspects of a Data Analytics Project: Understanding the Problem: Clearly defining the business problem or question you want to answer is crucial. This guides the entire project and ensures that the analysis is aligned with the objectives. Data Collection: Gathering data from various sources, which could be databases, APIs, web scraping, or CSV files. The quality and relevance of the data are critical. Data Cleaning and Preprocessing: This involves handling missing values, outliers, duplicates, and transforming the data into a usable format. Data cleaning is often the most time-consuming part of a project. Exploratory Data Analysis (EDA): Here, you explore the data to understand its structure, detect patterns, and identify relationships. Visualization tools like Matplotlib, Seaborn, and Plotly are commonly used. Feature Engineering: Creating new features or modifying existing ones to improve the performance of models. This step can include scaling, encoding categorical variables, or creating interaction terms. Modeling: Depending on the problem, you might use statistical models, machine learning algorithms, or a combination. This step involves selecting the appropriate model, training it, and fine-tuning hyperparameters. Validation: Evaluating the model's performance using techniques like cross-validation, and metrics such as accuracy, precision, recall, or RMSE, depending on the problem type (classification, regression, etc.).
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Reviewer Profile
keerthana

4.0

★★★ ★ ☆
India
“Insightful and Engaging Learning Experience”
I appreciated the well-organized lessons, which were supplemented by hands-on projects that reinforced the material. The interactive approach kept me engaged, and I felt confident applying what I learned to real-world data science tasks. The support from the community was also a big plus, making the learning process smoother and more enjoyable.
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Reviewer Profile
Er. DEEPAK TIWARI DSK

5.0

★★★★ ★
India
“Gaining a Lot of Knowledge Through These Amazing Video Lectures”
Gaining a lot of knowledge through these amazing video lectures.
Read More
Reviewer Profile
Vikash Chaudhary

5.0

★★★★ ★
India
“Understanding How Data Analytics Works with Real Examples”
Understanding how data analytics works with real examples. Understanding how data analytics works with real examples.
Read More

What our learners enjoyed the most

Our course instructor

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Ms. Sampriti Chatterjee

Data Science Expert

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906.6K+ Learners
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74 Courses
Sampriti has been working in the field of data science and has expertise in languages such as Python, SQL, and Java. She also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow 2.0. She is been in the technical content side for the last few years.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What are the prerequisites to learning this Data Analysis Projects course?

The Data Analysis Projects examples included in the course are for beginner’s level. This course will require learners to grasp the fundamental knowledge of data analysis and the application of programming languages, whichever and wherever it is appropriate.

How long does it take to complete this free Data Analysis Projects course?

This is an hour-long course but is self-paced however. Once you enroll, you can take your own time to understand and work with data analytics project ideas demonstrated in the course. 

Will I have lifetime access to the free course?

Yes, you will have lifetime access to this Great Learning Academy's free course once you enroll in it. You can login to the course and understand data analysis project examples to learn to work with newer data science problems on your own. 

What are my next learning options after this Data Analysis Projects course?

Once you have a good hold on working with data analysis project ideas, you can learn various techniques and build applications by enrolling in the Business Analytics course.  

Why is it essential to learn Data Analytics Projects?

Working on projects is the best way to learn data analytics. Furthermore, it introduces you to the tools and techniques that you can use to build technical solutions, where you can apply your theoretical knowledge to solve real-world problems. 

What jobs demand that you learn Data Analytics?

With a good hold on data analytics skills, you can be the best fit for job roles like:

  • Business Intelligence Analyst
  • Marketing Analyst
  • Data Analyst 
  • Data Scientist 
  • Data Engineer 
  • Quantitative Analyst 
  • Data Analytics Consultant 
  • Operations Analyst

Will I get a certificate after completing this Data Analysis Projects course?

Yes, you will get a certificate for Data Analysis Projects after you have understood all the demonstrated project examples and cracked the assessment. The assigned quiz tests your knowledge of the subject and badges your skills. 

What knowledge and skills will I gain upon completing this Data Analysis Projects course?

You will have understood the working of the demonstrated examples on the Indian Education System, Top Indian Foods, Amazon’s top Selling Books, and Uber Data Analysis Projects at the end of the course. The course also imbibes in you the skills to work with other data analysis project ideas efficiently. 

How much does this Data Analysis Projects course cost?

This is a free course. You can enroll in the course and gain free data analytics project ideas online.

Is there a limit on how many times I can take this Data Analysis Projects course?

Once you enroll in the Data Analysis Projects course, you have lifetime access to it. So, you can log in anytime and learn at your convenience.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes! Since there are no numeric constraints on the number of courses you can enroll in simultaneously, you are free to enroll in as many courses as you want to from Great Learning Academy. But since all the courses offered by Great Learning Academy are free and give you sufficient time to complete them, we suggest you learn them one by one to get the best of the subject. 

Why choose Great Learning Academy for this Data Analysis Projects course?

Great Learning Academy provides data analytics project ideas for free online. The course is self-paced and helps you better understand the data analytics subject with solved problems, hands-on experience with projects, and demonstrated examples. The course is carefully designed, keeping in mind to cater data analysis projects ideas to students and professionals, and is delivered by subject experts. 

Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 4 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals. 

 

Who is eligible to take this Data Analytics Projects course?

The Data Analysis Projects is a beginner-level course and will require you to grasp the fundamental knowledge of data analysis and the application of programming languages, whichever and wherever it is appropriate.

What are the steps to enroll in this course?

Enrolling in Great Learning Academy's Data Analytics Projects course is a one-step process. Sign-up for the course for free with your Email ID if you are interested, and start your learning journey today.

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