8 Completely FREE Big Data Resources
Tags: bigdata, datascience, sql, database
Published: 2023-08-17 04:53:02

Are you ready to step into the realm of Big Data? Don't fret if it seems overwhelming – I've curated 8 fantastic FREE resources that are tailor-made for beginners like you. Let's embark on a journey of discovery into the world of **Big Data** together!

## 1. **[Intro to Hadoop and MapReduce](https://imp.i115008.net/kj0NW0) - Udacity**
Let's start at the beginning! Udacity's course is like a friendly handshake into the world of Big Data. You'll unravel the mysteries of Hadoop and MapReduce, gaining insights into how large datasets are handled and processed.

**Highlights:**
- Explore large dataset management.
- Understand the magic of Hadoop and MapReduce.

**Drawbacks:**
- Requires a basic grasp of computer science concepts.

## 2. **[Big Data and Hadoop Essentials](https://click.linksynergy.com/deeplink?id=Vrr1tRSwXGM&mid=39197&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fbig-data-and-hadoop-essentials-free-tutorial%2F) – Udemy**
Time to dive deeper! Udemy's course acts as a trusty guide, showing you the ropes of Big Data and Hadoop. You'll roll up your sleeves and discover the art of data processing and management.

**Highlights:**
- Practical insights into Hadoop for data handling.
- Step-by-step guidance for newcomers.

**Drawbacks:**
- Might be slightly daunting for non-technical beginners.

## 3. **[Spark](https://imp.i115008.net/ZdbZBz) - Udacity**
Ignite your curiosity! Udacity's Spark course is your gateway to a versatile data tool. You'll learn how to mold data like a sculptor, creating valuable insights through transformations and calculations.

**Highlights:**
- Introduction to the dynamic world of Spark.
- Hands-on experience in data manipulation.

**Drawbacks:**
- Some exercises may require basic programming knowledge.

## 4. **[Introduction to Big Data](https://coursera.pxf.io/NKvPKv) - Coursera**
Let's ease in gently! Coursera's course offers a warm introduction to Big Data. You'll unravel its significance, real-world applications, and the magic it brings to various industries.

**Highlights:**
- Clear explanation of Big Data essentials.
- Real-life examples for easy comprehension.

**Drawbacks:**
- Limited practical experience with technical tools.

## 5. **[Introduction to Big Data with Spark and Hadoop](https://coursera.pxf.io/Ygvogm) - Coursera**
Double the fun, double the learning! Coursera's course combines the basics of Big Data with an introduction to Spark and Hadoop. It's like getting a two-in-one deal!

**Highlights:**
- Grasp Big Data essentials alongside Spark and Hadoop.
- Understand how these tools synergize for data analysis.

**Drawbacks:**
- Some technicalities might pose a challenge for complete beginners.

## 6. **[Data Wrangling with MongoDB](https://imp.i115008.net/2rkAMA) - Udacity**
Let's tidy up! Udacity's course focuses on data organization using MongoDB. Think of it as arranging puzzle pieces – you'll learn to make sense of messy data.

**Highlights:**
- Master the art of data organization with MongoDB.
- Practical skills to tackle real-world data issues.

**Drawbacks:**
- Requires a basic grasp of database principles.

## 7. **[Big Data Analytics in Healthcare](https://imp.i115008.net/ORrWmK) - Udacity**
Healthcare heroes, assemble! Udacity's course merges Big Data with healthcare applications. You'll harness data to make a positive impact on patient care and healthcare processes.

**Highlights:**
- Discover the fusion of Big Data and healthcare.
- Practical scenarios for hands-on learning.

**Drawbacks:**
- Specialized content for those interested in healthcare.

## 8. **[Fundamentals of Big Data](https://coursera.pxf.io/LPyrPL) - Coursera**
Laying the groundwork for success! Coursera's course delves into the core concepts driving Big Data. You'll grasp the foundational elements that set the stage for deeper explorations.

**Highlights:**
- Strong grasp of fundamental Big Data concepts.
- Preparing you for more advanced learning.

**Drawbacks:**
- Theoretical focus, limited practical engagement.

## What is Big Data?

Big Data is like a treasure trove of information, but on a massive scale. It refers to vast amounts of data that are too complex to be processed using traditional methods. This data comes from various sources – think social media, sensors, and more – and holds valuable insights that can shape business strategies, scientific research, and even improve our everyday lives.

## Skills Required to Learn Big Data

As you step into the Big Data realm, a few skills will come in handy:

1. **Programming Skills:** Having a basic understanding of programming languages like Python or Java will help you interact with data tools and frameworks.
2. **Data Analytics:** Developing the ability to analyze data trends and patterns will be crucial for deriving insights from complex datasets.
3. **Database Management:** Learning to handle and manipulate databases efficiently is essential for data storage and retrieval.
4. **Machine Learning:** Acquiring knowledge of machine learning algorithms will enable you to create predictive models and make data-driven decisions.
5. **Problem-Solving:** Big Data often presents intricate challenges. Sharpening your problem-solving skills will help you navigate through them.

## Wrapping Up
Congratulations! With these 8 FREE resources, you're well-equipped to start your Big Data journey. Remember, each resource has its highlights and drawbacks, so choose the ones that align with your learning style and goals.

**Check-> [10 Best Online Courses on Big Data Analytics](https://www.mltut.com/best-online-courses-on-big-data/)**

Happy learning!

**NOTE-** Some of the links in the post are Affiliate Links. This means if you click on the link and purchase the course, I will receive an affiliate commission at no extra cost to you😊.