These Big Data Courses will Help you get High Paying Jobs.
If you’re a beginner, here are the best big data courses for you to get started.
Big data is an important technology for businesses all around the world. Big data is used by IT giants such as eBay, NASA, Amazon, Google, and Facebook to make better business decisions and make sense of all the data accessible. Big data is a lucrative profession if you are a tech enthusiast looking for a high-paying career in the industry.
1. Big Data Courses: Big Data Analytics
This course will teach you how to store, handle, and analyze data to help you make better business decisions in today’s digital world. This course will cover a wide range of topics, including cloud-based big data analysis, predictive analytics, including probabilistic and statistical models, large-scale data analysis, and issue space and data needs analysis. You will be able to approach large-scale data science challenges with creativity and initiative by the end of this course.
2. Big Data Courses: Big Data and Hadoop
This course will teach you about Hadoop’s complex architecture and its components. It covers everything a Big Data Beginner needs to know, including the Big Data market, various employment categories, technology trends, Hadoop history, HDFS, Hadoop Ecosystem, Hive, and Pig. This course also includes a number of hands-on examples to help you quickly learn Hadoop.
3. Big Data Courses: Introduction to Big Data
This course is for IT enthusiasts who want to learn more about data science and why the Big Data Era has grown so popular. You’ll learn about big data landscapes and real-world big data problems, as well as key features of big data such as volume, velocity, valence, and value, and how they affect data collection, monitoring, storage, analysis, and reporting. No prior programming expertise is required for this starter.
4. Big Data Courses: IoT Programming and Big Data
This course will teach you the fundamentals of programming and how to use the Python programming language to understand IoT devices. You’ll also learn how to use Python to process text log files, such as those produced automatically by IoT sensors and other networked systems. This course does not require any prior programming knowledge.
5. Big Data Courses: Data Engineering Foundations
The principles of data engineering will be covered in this course. You’ll learn about data wrangling, database schema, and developing ETL pipelines, as well as Hive, Hadoop, Spark, and Airflow, among other data engineering tools. You will understand the extent of data engineering in a data-driven organization at the end of this course.
6. Big Data Courses: Big Data in the Age of AI
Big data lays the groundwork for many disruptive technologies that are critical to organizations, such as artificial intelligence and machine learning. You will understand how big data is shaping our data-driven world in this non-technical course. This course also delves into the relationship between big data and AI, data science, social media, IoT, and data ethics.
7. Big Data Courses: Foundations for Big Data Analysis with SQL
Starting with an overview of data, database systems, and the standard querying language, this course will show you the large picture of utilizing SQL for big data (SQL). By the end of this course, you’ll be able to tell the difference between operational and analytic databases and how they’re used in big data, understand how database and table design provides structures for working with data, appreciate how differences in volume and variety of data influence your database system selection and recognize the features and benefits of SQL dialects designed for big data.
8. Big Data Courses: Data Ethics, AI, and Responsible Innovation
In a world when data is all around us, it’s critical to understand how much power data has over us and vice versa. This course will teach you about the ethical challenges that arise during the data lifecycle, as well as digital rights, data governance, responsible research, and innovation. You will also learn how to use critical judgment to solve moral dilemmas with clear solutions.
9. Big Data Courses: Computational Thinking and Big Data
Computational thinking is a skill that is required in a variety of professions in order to construct problems and articulate answers for computers to work on. This course will teach you how to understand and apply advanced core computational thinking concepts to large-scale data sets, how to use industry-standard tools for data preparation and visualization, such as R and Java, how to apply data preparation methods to large data sets, how to understand mathematical and statistical techniques for attracting information from large data sets, and how to illuminate relationships between data sets.
10. Big Data Courses: Taming Big Data with Apache Spark and Python
This course will teach you Apache Spark, the most popular big data tool. You’ll learn about Spark’s DataFrames and Resilient Distributed, how to quickly develop and run Spark jobs using Python, how to translate complex analysis problems into iterative or multi-stage Spark scripts, how to scale up to larger data sets using Amazon’s Elastic MapReduce service, how to scale up to larger data sets using Hadoop YARN, and other Spark technologies like Spa.