Build a Career in Data Engineering and Analytics | Udemy Coupons 2025

A warm welcome to the Build a Career in Data Engineering and Analytics course by Uplatz.

Are you intrigued by the world of data but not sure where to begin? Do roles like Data Engineer, Data Architect, or Data Analyst sound exciting but confusing? This course is your beginner-friendly guide to understanding what careers in Data Engineering and Analytics are really all about – no coding or tech background required!

“Build a Career in Data Engineering and Analytics” is designed for students, beginners, job seekers, and career switchers who want to explore the fast-growing data field from a career perspective. You’ll gain a clear overview of the most in-demand roles, their responsibilities, key skills, popular tools, certifications, salaries, and how to strategically enter and grow in this space.

By the end of this course, you’ll have a solid understanding of:

• What Data Engineers, Analysts, Architects, and other data professionals actually do
• The technologies and platforms used in modern data ecosystems
• The skills, certifications, and learning paths to break into the field
• Career growth potential, job market trends, and global salary insights
• How to build your personalized roadmap to launch a successful data career

Whether you’re from a tech, business, or completely non-technical background, this course will provide the clarity and confidence you need to start your journey into data engineering and analytics.

No prior experience required – just curiosity and a willingness to learn one of the most in-demand skill sets in today’s digital economy!

Key Benefits of Learning This Course

1. Understand the full landscape of data engineering and analytics careers
2. Get a clear overview of job roles, responsibilities, and required skills
3. Explore the most-used tools and technologies in the data domain
4. Learn about certifications that can boost your career opportunities
5. Discover how different data roles connect within an organization
6. Know the salary ranges, career paths, and hiring trends in the industry
7. Identify the right role based on your interests, strengths, and background
8. Save time by starting with a structured, beginner-friendly guide
9. Build a step-by-step learning and career roadmap
10. Boost your confidence to take the first step into the world of data
11. Ideal for students, career changers, tech and non-tech professionals alike

Build a Career in Data Engineering and Analytics – Course Curriculum

1. Become a Data Consultant
2. Become a Data Architect
3. Become a Data Engineer
4. Become a Database Manager
5. Become a Data Strategist
6. Become a Data Visualization Specialist
7. Become a Data Analyst
8. Become a Business Intelligence Analyst

Job Roles

Understanding the overall landscape of data engineering and analytics will help you target job roles such as:

• Data Engineer – Design and build data pipelines, ETL processes, and data infrastructure for scalable data movement and transformation
• Data Analyst – Analyze structured data to generate insights, create reports, and support business decision-making
• Data Architect – Design the blueprint of data systems, ensuring secure, efficient, and scalable data flow across platforms
• Business Intelligence (BI) Developer – Build dashboards, visualizations, and reporting solutions using tools like Power BI or Tableau
• Data Consultant – Work with clients to define data strategies, implement data solutions, and optimize business processes
• Data Specialist – Manage, clean, and organize large datasets to maintain data integrity and accuracy
• Data Visualization Specialist – Translate complex data into easy-to-understand visual stories using charts, graphs, and interactive dashboards
• Big Data Engineer – Handle massive datasets using big data technologies such as Hadoop, Spark, and cloud-native tools
• Analytics Engineer – Bridge the gap between data engineering and analytics by building data models and reusable data assets
• Machine Learning Engineer – Assist in building ML pipelines and integrating data models into production systems
• SQL Developer – Create and manage complex queries and database structures for efficient data access and transformation
• ETL Developer – Develop Extract, Transform, Load processes to move and reshape data between systems and warehouses
• Cloud Data Engineer – Build and maintain cloud-based data pipelines using tools like AWS Glue, GCP Dataflow, or Azure Data Factory
• Data Scientist – Perform data exploration, build predictive models, and assist with advanced analytics tasks
• Reporting Analyst – Create regular and ad-hoc reports to support teams with data-driven insights and key metrics
• Operations/IT Professionals transitioning into Data roles – Leverage system knowledge while building data and analytics skills