Big Data is a cliche thrown around a lot, but what does it mean? In short, it refers to the massive amounts of information we generate every day—and how companies are trying to figure out how to use that information to their advantage.
However, what exactly is Big Data?
What is Big Data?
Big Data and Data Science are often considered synonyms, but they are not. Big Data is a collection of large datasets that are too large to be processed by conventional software tools. Data science is extracting information from Big Data and then using that information to make decisions.
Big Data is an essential part of our lives and the future of the Internet. Companies like Google and Facebook use it to understand their customers better and make more money off them. Governments around the world also use it to try and predict future trends in crime or disease outbreaks.
How do we use it in our everyday lives? Moreover, why should you be paying attention to what is happening with this new technology? Is Data Science the next big thing?
Why Data Science?
If you are interested in a challenging and rewarding career, data science might be the right fit. It is a growing field and experiencing high demand, so it is an excellent option if you want to increase your earning potential.
The reason why so many businesses want data scientists on staff? Because they can use their skillsets to find patterns in vast sets of information and make predictions based on those patterns. For example: if you are running an e-commerce business and want to know which products are most likely to sell best during a holiday season, you could hire a data scientist who can analyze sales records going back several years and figure out what factors correlate with higher sales (e.g., price point) or lower sales (e.g., specific colors).
What is the work of a Data Scientist?
A data scientist uses statistics, machine learning, and programming to turn data into actionable insights. They use these skills to find patterns in large datasets and make predictions about future events or trends.
Data scientists are employed by companies across many industries, including finance, healthcare, and retail. They work with various tools, such as statistical software packages like R or Python, programming languages like Java, and Big Data tools like Django, Hadoop, and Spark.
These professionals play an essential role in the digital economy: they combine technical expertise with business knowledge to make sense of large amounts of data that would otherwise be hard for companies to analyze effectively on their own.
Become a Data Scientist Today
Becoming a Data Scientist can seem daunting, but it does not have to be. Here are five steps to help you get started:
1. Start by learning how to code. If you are not already experienced with coding, LIVEWIRE is a great place to start.
2. Make sure you have at least some experience working with data sets and analysis tools. This could include taking an analytics course or completing an internship related to analytics or business intelligence.
3. Learn about machine learning algorithms, how they work, and how they are used in practice (including some examples of when they have been successful).
4. Get familiar with SQL queries so you can manipulate data without relying on another tool (like Python). Becoming a data scientist is a great career move, but it can be hard to know where to begin.
Luckily, at LIVEWIRE we have plenty of resources to help you get started on your journey.
Books to check out!
Big Data is an exciting field that has grown exponentially over the past few years. Here are a few books for reference on the topic, but there are many other popular books too. Those books will help you acquire all the knowledge essential to take your first step in the Big Data space:
Big Data: Concepts, Technology, and Architecture by Nandhini Abirami R, Seifedine Kadry, Amir H. Gandomi, Balamurugan Balusamy
Big Data: A Revolution That Will Transform How We Live, Work, and Think by Kenneth Cukier and Viktor Mayer Schonberger
Learning Spark: Lightning-Fast Big Data Analysis by Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia
Big Data Management: Data Governance Principles for Big Data Analytics by Peter Ghavami
Big Data is a revolution that will transform how we live, work, and think. This book will help you understand the emerging technologies, tools, and techniques to make collecting and analyzing massive amounts of data more accessible than ever.
Where to Begin?
There are many online courses for data scientists. However, let us be honest: the best way to learn is in person, with the support of an instructor and classmates who can help you when you get stuck.
That is why we at the LIVEWIRE center created a platform that connects you with a community of other data scientists looking for direction on their career paths. We offer courses by industry experts designed to help you get real-world experience through assignments and projects.
In this course, we will teach you how to apply data science techniques and tools to solve real-world problems. We will cover exploratory data analysis, visualization, machine learning, and deep learning topics. You will also learn how to implement your solutions using Python’s sci-kit-learn library.
This course is designed for those who want to learn data science but do not have any previous experience with it. No prior knowledge of machine learning or artificial intelligence is required!
We know this is the best way for you to learn, and we are here to make it happen!
Conclusion
LIVEWIRE chooses courses that have a high level of scope in the Job market. We train in IT, Electronics & Electricals creating experts for emerging technology industries and specialist technology jobs. LIVEWIRE is a part of the CADD Centre, which is Asia’s largest CAD/CAM/CAE training institute. LIVEWIRE is present in 100 locations across India and Six Countries worldwide.
If you want to enter the world of Big Data, we hope this blog has helped you understand the technologies involved and where they are currently being used. We also hope that it has given you some ideas about how to learn those technologies on your own and prepare yourself for a career in this exciting field.
The demand for skilled prominent data professionals is continuously increasing, which is a great time to enter the job market. We hope this blog on the best resources to learn Big Data will help you understand Big Data technologies and build the skills and experience you will need to impress future employers.
Data Science | Datascience using R | Datascience using Python | Django | Python