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Advance Diploma Program in Data Science and Cloud

Comprehensive Course in Big Data & Data Engineering, Data Science & Machine Learning, Cloud Computing & AI Services, Data Visualization & Business Intelligence, Data Manipulation & Processing, Business & General Analytics

6 Months | Live Sessions | Assignments | Projects | Internship | Placement | Guided Mentors | Industry Expert driven | Code Banks | Study Material | 
 

Language: English

Instructors: HandE Learning

₹100000 97% OFF

₹3000

10% Cashback as HandE Coins

Why this course?

Description

Description:

The Advance Diploma Program in Data Science and Cloud is a comprehensive course designed to equip students with advanced knowledge and skills in data science and cloud computing. This program covers a wide range of topics including data visualization, machine learning, cloud infrastructure, and more, making it ideal for individuals looking to pursue a career in the data science and cloud industry.

Key Highlights:

  • Comprehensive curriculum covering data science and cloud computing
  • Hands-on training with real-world projects
  • Expert faculty with industry experience
  • Career support and guidance
  • Flexible learning options

What you will learn:

  • Advanced Data Science Techniques
    Master advanced data science techniques such as predictive modeling, data mining, and more.
  • Cloud Computing Fundamentals
    Understand the basics of cloud computing and how it is revolutionizing the IT industry.
  • Real-World Projects
    Apply your knowledge to real-world projects and gain practical experience.
  • Career Guidance
    Receive career guidance and support to kickstart your career in data science and cloud computing.

This comprehensive course is designed to equip learners with in-depth knowledge and hands-on experience in Big Data Analytics, Data Science, Machine Learning, Cloud Computing, and Business Intelligence. Covering foundational to advanced concepts, this course integrates industry-leading tools and technologies to help professionals excel in data-driven decision-making, AI applications, and cloud-based data solutions.


Who Should Enroll?
•    Aspiring Data Scientists, Data Engineers, and AI Professionals
•    IT & Cloud Professionals looking to specialize in Big Data & Machine Learning
•    Business & Finance professionals aiming to enhance their Data Analytics & Forecasting skills
•    Anyone interested in Cybersecurity & Data Analytics


Key Features
•    Hands-on Projects – Real-world applications using industry-leading tools.
•    Cloud-based Learning – Leverage AWS, Azure, and Google Cloud.
•    Expert-Led Training – Industry professionals guiding you through each concept.
•    Interactive Case Studies – Practical insights from various industries.
•    Career Support – Resume-building, job assistance, and interview preparation.


Outcome & Certification
Upon successful completion, participants will earn a certification in Data Science, Big Data, AI, and Cloud Analytics, demonstrating expertise in cutting-edge data-driven technologies.
 

Career Growth Path

  1. Foundation Level: Start with hands-on experience in coding, data handling, or cloud computing.
  2. Specialization: Gain expertise in AI, big data, cloud platforms, or analytics for career progression.
  3. Leadership & Strategy: Move into senior roles managing teams, designing architectures, or leading business intelligence initiatives.
  4. Executive Positions: Transition into roles like Chief Data Officer, CTO, or Head of AI Strategy.

Comprehensive Learning

Covers Data Science, Machine Learning, Big Data, AI, and Cloud Computing in a single program.

Hands-on Training

Work on real-world projects, case studies, and cloud-based applications to gain practical expertise.

Industry-Ready Skills

Master Python, SQL, TensorFlow, AWS, Azure, Google Cloud, and DevOps to enhance your career opportunities.

Big Data & AI Integration

Learn how to process and analyze massive datasets using Big Data tools like Spark, Hadoop, and Data Lakes.

Cloud Computing Expertise

Understand cloud platforms (AWS, Azure, GCP) for scalable and cost-effective data solutions.

Data Engineering & Analytics

Build data pipelines, ETL workflows, and cloud-based analytics solutions.

Machine Learning & AI Mastery

Gain expertise in Predictive Analytics, Deep Learning, NLP, and Computer Vision.

Cybersecurity & Data Governance

Learn to secure cloud-based data and ensure compliance with industry standards.

Course Curriculum

How to Use

After successful purchase, this item would be added to your courses.You can access your courses in the following ways :

  • From the computer, you can access your courses after successful login
  • For other devices, you can access your library using this web app through browser of your device.

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Job Opportunities and Career Path

1. Data Science & AI

  • Entry-Level Roles: Data Analyst, Junior Data Scientist
  • Mid-Level Roles: Data Scientist, AI Engineer, Machine Learning Engineer
  • Senior-Level Roles: Lead Data Scientist, AI Architect, Chief Data Officer
2. Big Data & Data Engineering
  • Entry-Level Roles: Big Data Analyst, Data Engineer
  • Mid-Level Roles: Senior Data Engineer, Hadoop/Spark Developer
  • Senior-Level Roles: Data Solutions Architect, Chief Data Engineer
3. Cloud Computing & DevOps
  • Entry-Level Roles: Cloud Engineer, DevOps Engineer
  • Mid-Level Roles: AWS/GCP/Azure Cloud Architect, Kubernetes Engineer
  • Senior-Level Roles: Cloud Solutions Architect, Director of Cloud Operations

4. Business Intelligence & Data Visualization

  • Entry-Level Roles: BI Analyst, Power BI/Tableau Developer
  • Mid-Level Roles: Data Visualization Engineer, BI Consultant
  • Senior-Level Roles: BI Director, Head of Data Analytics
5. Cybersecurity & Data Analytics
  • Entry-Level Roles: Security Analyst, Cyber Risk Consultant
  • Mid-Level Roles: Security Engineer, Cyber Threat Analyst
  • Senior-Level Roles: Security Architect, Cybersecurity Manager