Course Includes:
- Title: Big Data
- Eligibility Criteria: Basic computer literacy
- Weekend:Live Online Training
- Duration:4 months
- Language:English
Become a Big Data and Cloud Engineer with a guaranteed internship and placement assistance program.
Join The Best Big Data and Cloud Computing Course
About This Course:
Step into the forefront of technology with our Big Data and Cloud Computing program. This course is a launchpad into the world of data analytics and cloud infrastructure, equipping you with in-demand skills to analyze, process, and manage vast data sets. Learn to leverage cloud technologies for efficient data storage and accessibility. Ideal for those aiming to excel in data-centric roles, our program combines practical training with theoretical knowledge, setting you up for a promising career in the rapidly growing fields of Big Data and Cloud Computing.
100% Placement Assistance and Internship:
Our program comes with guaranteed internship and placement assistance. Read more about our career services.
Career Services:
Our career services include internship opportunities, placement assistance, access to exclusive job opportunities, career mentorship, training on soft skills, GitHub project portfolio, resume and LinkedIn optimization, letter of recommendation and mock interview preparation.
Job Oriented Curriculum:
Understand the fundamentals of. Big Data and Cloud Computing to become a Data Engineer.
Hands-on: Solve Real-World Problems:
Implement what you’ve learned with over 15+ real-world projects and case studies specially formulated by our industry partners to make you a top candidate for potential employers.
Tools Covered:
SQL, Python, Hadoop, Spark, PySpark, AWS, Azure/GCP
Who is this course for?
This course is for anyone who has the curiosity to learn data engineering and cloud computing. We have meticulously designed the course to cater to both STEM and Non- STEM graduates.
Course Outcomes/What will you learn?
Design cloud-based solutions or architecture, and use the popular cloud platforms like AWS, Azure or GCP to develop and deploy cloud applications.
Job Roles?
Data Engineer, Cloud Engineer, Business Intelligence Engineer (BIE), Data Architect, Cloud Architect, Cloud Consultant, Solutions Architect, Data Analyst etc.
Bringing your ideas to life:
- Capstone Project 1
- Participate in our Hackathons; compete to solve real-world problems
- Sharpen your analytical skills
- Capstone Project 2 – solve problems with an actual company
- Pitch presentations
- Go-to-market with your solutions
- Kickstart with fundamentals of Data Science by going through the basics of coding and statistics.
- Thereafter, dive into the foundation of Data Science by mastering Excel, SQL, Python, Statistics/Machine Learning, Tableau and AWS.
- Further specialize in Machine Learning, Deep Learning and Artificial Intelligence.
Learning Journey
Course Curriculum
Module 1: SQL for Big Data
- SQL Fundamentals: Introduction to database concepts, SQL syntax
- Joins and Sub-Queries: Understanding inner, outer, cross joins, and writing nested queries
- Creating Table Views: Designing and implementing views for data abstraction
- Advanced SQL Queries: Query optimization techniques for performance enhancement
Module 2: Python for Data Engineering
- Python Essentials: Python data structures, control flow, and scripting
- Data Frame Manipulation: In-depth use of Pandas for data analysis tasks
- Numpy for Numerical Data: Utilizing NumPy for high-performance computations on arrays
- PySpark: Leveraging Apache Spark with Python for large-scale data processing
Module 3: Big Data Technologies and Hadoop Ecosystem
- Hadoop: Overview of Hadoop, HDFS, and MapReduce framework
- Spark: Advanced processing with Spark RDDs, DataFrames, and Spark SQL
- Linux for Big Data: Command-line tools and scripting for data management
- Hive: Data warehousing and SQL-like querying with Hive
Module 4: Cloud Computing with AWS
- AWS Technical Essentials: Introduction to AWS core services, architecture, and use cases
- AWS Cloud Deployment: Deploying applications, EC2 instances, and managing services
- Big Data on AWS: Leveraging AWS for big data analytics, using services like EMR, Redshift
Module 5: Cloud Platforms: Azure and GCP
- Azure: Core services in Azure for computing, storage, and analytics
- GCP: Google Cloud Platform for big data solutions
- Cross-Platform Cloud Ecosystems: Integrating services across cloud providers for scalable solutions
What is Big Data and Cloud Computing?
Big Data refers to extremely large data sets that can be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions. It's not just about the size of the data but also the variety of data types and the velocity at which it's processed. Cloud Computing, on the other hand, is the delivery of different services through the Internet, including data storage, servers, databases, networking, and software. Cloud services are designed to provide easy, scalable access to applications, resources, and services, and are fully managed by cloud service providers.
Why Big Data and Cloud Computing?
The integration of Big Data and Cloud Computing is essential for handling the increasing volume of data and the need for powerful computing resources. These technologies allow businesses to store and analyze large amounts of data efficiently and cost-effectively. This analysis can lead to more informed business decisions, improved customer experiences, and the development of new products and services.
Future of Jobs
The job market's future in Big Data and Cloud Computing is extremely promising. As more organizations rely on data-driven strategies and cloud-based solutions, the demand for skilled professionals in these fields is rapidly increasing. Careers in data science, cloud architecture, data engineering, cloud services management, and cybersecurity are just a few of the many paths available. These roles are critical across various industries, offering both diversity and job security.
Why Learn Big Data and Cloud Computing?
- Learning Big Data and Cloud Computing is no longer just a competitive edge; it's a necessity in the modern job market.
- With the digital transformation of industries, these skills are critical for anyone looking to be a part of the future workforce. Failing to acquire these skills might mean missing out on key roles and opportunities in an increasingly data-driven, cloud-enabled world.
- Understanding these technologies opens doors to innovative, high-paying careers and positions you at the forefront of the digital revolution.