Find in this post, a list of more than 20 courses for free or with certificates in data science, Big Data and Cybersecurity.
Big Data without mysteries
This course will show you the advantages of using Big Data, advanced analytics and artificial intelligence, both in the public sector and in the private sector. The course will provide you, through videos and readings, theoretical foundations, methodologies and examples of real use cases. You will also have the opportunity to take assessed activities so you can put what you have learned to the test.
Finally, the modality of this course is “at your own pace (self-paced)”. This means that if you choose to pay for the verified certificate, you will have the flexibility to take the course until the closing date of September 30, 2022.
Introduction to Big Data
This course is for those who are new to data science and are interested in understanding why the era of Big Data has emerged. It is for those who want to become familiar with the core terminology and concepts behind big data problems, applications, and systems.
It is aimed at those who want to start thinking about the usefulness of Big Data in their business or career. Provides an introduction to one of the most common frameworks, Hadoop, which has made big data analysis easier and more accessible.
Specialized Program: Modern Big Data Analysis with SQL
Most courses that teach SQL focus on traditional relational databases, but today, more and more data being generated is too big to be stored there, and it’s growing too fast to be stored efficiently in data warehouses. commercial. Instead, it is increasingly stored in distributed clusters and cloud storage. These data warehouses are cost effective and infinitely scalable.
This specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam.
Big Data Essentials: HDFS, MapReduce, and Spark RDD
In this 6 week course you will learn:
- learn some basic technologies of the modern Big Data landscape, namely: HDFS, MapReduce and Spark;
- be guided both by the internal components of the systems and by their applications;
- learn about distributed file systems, why they exist, and what they are for;
- understand the MapReduce framework, a workhorse for many modern Big Data applications;
- apply the framework to word processing and solve business case examples;
- learn about Spark, the next-generation computing framework;
- develop a strong understanding of the basics of Spark;
Develop skills to apply these tools to create solutions in finance, social media, telecommunications, and many other fields.
Specialized Program: Learn SQL Basics for Data Science
This specialization is intended for a student with no prior coding experience who is looking to develop fluency with SQL queries. Through four progressively more difficult SQL projects with data science applications, you’ll cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing with Apache Spark, Delta Lake, and more.
These topics will prepare you to creatively apply SQL to analyze and explore data; demonstrate efficiency in query writing; create data analysis data sets; perform function engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.
Specialized Program: Big Data – Introduction to the practical use of big data
This program is intended as a gateway to the world of massive data and its processing. The first course aims to show the student the impact of Big Data in today’s society, both in the world of business and in politics and public administrations, the media and/or scientific research.
Throughout courses 2, 3 and 4, the identification, capture, pre-processing, analysis and visualization of data are studied, from a “user” point of view, and with a practical orientation. Finally, the Capstone Project allows the student to apply the knowledge acquired to a practical case in the field of astronomy.
Specialized Program: Data Engineering, Big Data, and Machine Learning on GCP
This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification.
This professional certificate incorporates hands-on labs using the Qwiklabs platform. These hands-on components will allow you to apply the skills you learn. The projects incorporate Google Cloud Platform products that are used in Qwiklabs. You will gain practical experience with the concepts explained throughout the modules.
Specialized Program: NoSQL, Big Data, and Spark Foundations
Big Data engineers and professionals with NoSQL skills are highly sought after in the data management industry. This specialization is designed for those looking to develop fundamental skills in working with Big Data, Apache Spark, and NoSQL databases.
Three information-packed courses cover popular NoSQL databases like MongoDB and Apache Cassandra, the widely used Apache Hadoop ecosystem of big data tools, as well as the Apache Spark analytics engine for large-scale data processing.
Cybersecurity fundamentals: a practical approach
This course offered by the Carlos III University of Madrid and the Inter-American Development Bank (IDB), presents an introduction to cybersecurity from different aspects of this discipline. You will learn what the main existing cybersecurity threats are and how to protect yourself against them from a practical approach, in which the necessary material is provided to better understand the attacks and establish appropriate countermeasures. Also a cyber security students from low income families can apply government cyber security scholarships and grants for education to complete the further study of cyber security in abroad or in own country. here is the list of 25 best cyber security scholarships for low income students that can help them
Google Data Analytics Professional Certificate
Get ready for a new career in the high-growth field of data analytics—no experience or degree required. Get professional training designed by Google. You will have the opportunity to connect with the best employers. There are 337,400 US job openings in data analytics with an average entry-level salary of $67,900. Data analytics is the collection, transformation, and organization of data to draw conclusions, make predictions, and drive informed decision-making.
IBM Data Engineering Professional Certificate
Throughout this Professional Certificate, you will complete hands-on labs and projects to help you gain hands-on experience with Python, SQL, Relational Databases, NoSQL Databases, and Apache Spark. Additionally, you’ll be able to build a data pipeline, manage a database, and work with data in a data warehouse. .
In the final course of this Professional Certificate, you will complete a Capstone Project where you will apply what you have learned to a real-world inspired scenario that requires you to design, implement, and manage an end-to-end data engineering platform consisting of multiple (Transactional data storage), NoSQL and Big Data repositories, as well as data pipelines to connect them.