Advanced Data Analyst with Azure and Power BI
Learning Format
Online Mode
Total Training Duration
200 Hrs
Duration
4 Month
Certification
Yes
Advanced-Data analyst course in PCMC Pune with Placement
Take your skills to the next level with our Data Analytics + Advanced Course in PCMC Pune—a comprehensive training program built for those who want to go beyond the basics. In this course, you’ll explore advanced Excel techniques, Python for data analysis, complex SQL queries, Power BI dashboards, and predictive analytics. Designed for both beginners and working professionals, the curriculum is project-based and led by industry experts who bring real-time experience to the classroom. If you’re serious about building a future-proof career in analytics and gaining a competitive edge, IntelliBI Innovations Technologies is the right place to start. Learn how to solve complex data problems and stand out in interviews with a complete skillset trusted by top companies.
1. Why Learning Advanced Data Analyst with Azure &Â with PowerBI is a Long-Term Investment:
Many of us focus on learning Power BI, thinking it’s enough to get a job, but that’s often not true. While Power BI is a great tool for data visualization, companies now expect more from job candidates. They want professionals who know not only Power BI but also tools like Python, Spark and Azure. By gaining these skills, you’ll be ready for various roles in the data field, such as data analyst, data engineer, or BI developer. This will not only help you get a job but also keep your career moving forward in the fast-changing world of data., and Azure, especially for working with big data, data processing, and managing data in the cloud.
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To stay competitive and ahead in the job market, it’s essential to learn Python, Spark, and Azure. Many of us only realize their importance during interviews, and by then, they may have already wasted time and money. This can also lead to a loss of confidence because they feel unprepared. Starting early with these skills will help you avoid that frustration and give you a strong foundation. By learning Python, Spark, and Azure along with Power BI, you’ll be ready for the demands of today’s data jobs and increase your chances of success.
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By learning Power BI along with Python, Spark, and Azure, you’ll not only improve your chances of getting a job but also be ready to take on the challenges of modern data work. This will open up more career opportunities in data science, data engineering, and business intelligence
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2. Pre-requisites:
- SQL & PL/SQL (Stored Functions, Stored Procedures, Indexes)
- Python
- Spark (PySpark, Spark SQL)
3. Azure Services: A Must for Data Engineers:
- Azure Data Factory
- Azure Databricks
- Azure Synapse
- Azure Storage
- Azure Data Lake
- Azure Blob Storage
- Azure Data Lake Storage
- Azure Cosmos DB
- Azure Logic Apps
- Azure Machine Learning
- Azure API Management
- Azure Event Hub
- Azure IoT Hub
4. PowerBI Services: A Must for BIÂ Developer:
- Power BI Desktop:
- Data Loading & Transformation (Power Query)
- Data Modeling
- Data Visualization
- DAX
- Report Design & Publishing
- Power BI Admin:
- Power BI Workspaces & Collaboration
- Data Refresh & Gateways
- Row-Level Security (RLS)
- Monitoring & Usage Analytics
- Licensing & Permissions
End-To-End Projects (At least 2)
- Data Ingestion End-to-End Pipeline and Visualization: Using Azure Storage (e.g., Azure SQL): The final table/files created by the Data Engineer will serve as the source for Power BI.
- Data Ingestion End-to-End Pipeline and Visualization: Using File Storage and Synapse Views: The final table/files created by the Data Engineer will serve as the source for Power BI.
5. Comparing Coding Complexity: Advance Data Analysts vs Java DevelopersÂ
Azure Data Engineer + Power BI Specialist: Coding complexity is around 50% compared to Java Developers, where the complexity is considered 100%.
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6. Career Opportunities
- For Experienced Professionals:
- Azure Data Engineer
- Cloud Data Engineer
- Big Data Engineer
- Data Analyst
- Business Intelligence (BI)Â Developer
- Cloud Solutions Architect
- Data Analyst
- Azure Data Engineer + Power BI Specialist
- Power BI Developer
- Cloud ETL Developer
- For Freshers:
- SQL Developer
- PLSQL Developer
- Python Developer
- Pyspark developer
- Big Data Engineer
- Azure Data Engineer
- Cloud Data Engineer
- Data Analyst
- Azure Data Engineer + Power BI Specialist
- Business Intelligence(BI) Developer
- PowerBI Developer
- Cloud ETL Developer
7. Job Opening:Â
Having knowledge of Azure Data Engineering and Power BI opens up multiple job opportunities and can significantly increase your salary. With expertise in both, you become eligible for a wide range of roles such as Azure Data Engineer, Business Intelligence Developer, Data Analyst, and more. These roles are in high demand across industries, and companies are willing to pay higher salaries for professionals who can handle both data infrastructure (Azure) and data visualization (Power BI). This dual skill set makes you more valuable, leading to better job prospects and higher pay.
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8. Eligibility Criteria:Â
Educational Background: A bachelor’s degree must be completed.
- Eligible Degrees:
- BE (all streams)
- B.Tech
- BCS
- BCA
- B.Com
- BBA
- Other related technical or non-technical bachelor’s fields
- And its relevant postgraduate degrees
- Diploma Holders:
- All streams may also be eligible.
- Communication Skills:
- Basic written and verbal communication skills.
- Ability to explain technical concepts clearly.
9. The Future of Data Engineering with Azure:Â
The demand for professionals with skills in Azure Data Engineering and Power BI is very high. Together, they make up about 70% of the current job market in cloud computing, data engineering, and business intelligence. This is much more compared to other tools, making the Azure + Power BI skill set one of the most valuable for career growth. Learning these skills will help you get better job opportunities, higher salaries, and a strong future in the tech industry.
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10. Annual CTC for Data Analysts With Azure and Power BI. (Based on Experience):
- 0-1 Year Experience (Entry-Level):
- India: ₹4–6 LPA
- US: $60,000–$80,000
- 1-4 Years Experience (Junior/Mid-Level):
- India: ₹6–14 LPA
- US: $80,000–$110,000
- 4-8 Years Experience (Mid-Level/Senior):
- India: ₹10–25 LPA
- US: $110,000–$140,000
- 4.8+ Years Experience (Senior/Lead):
- India: ₹20–55+ LPA
- US: $140,000–$160,000+
Summary:
Offers significant salary growth with experience, ranging from ₹4-6 LPA (India) and $60,000–$80,000 (US) for entry-level roles to ₹20–55+ LPA (India) and $140,000–$160,000+ (US) for senior roles.
Pre-requisites:
- SQL & PL/SQL (Stored Functions, Stored Procedures, Indexes)
- Python
- Spark (PySpark, Spark SQL)
Azure Services: A Must for Data Engineers:
- Azure Data Factory
- Azure Databricks
- Azure Synapse
- Azure Storage
- Azure Data Lake
- Azure Blob Storage
- Azure Data Lake Storage
- Azure Cosmos DB
- Azure Logic Apps
- Azure Machine Learning
- Azure API Management
- Azure Event Hub
- Azure IoT Hub
PowerBI Services: A Must for BI Developers:
- PowerBI Desktop:
- Data Loading & Transformation (Power Query)
- Data Modeling
- Data Visualization
- DAX
- Report Design & Publishing
- Power BI Admin:
- Power BI Workspaces & Collaboration
- Data Refresh & Gateways
- Row-Level Security (RLS)
- Monitoring & Usage Analytics
- Licensing & Permissions
End- To-End Projects (At least 2)
- Data Ingestion End-to-End Pipeline and Visualization: Using Azure Storage (e.g., Azure SQL): The final table/files created by the Data Engineer will serve as the source for Power BI.
- Data Ingestion End-to-End Pipeline and Visualization: Using File Storage and Synapse Views: The final table/files created by the Data Engineer will serve as the source for Power BI.
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