Data Analyst ( Tableau & Power BI ) course in PCMC Pune
Learning Format
Online Mode
Total Training Duration
200 Hrs
Duration
4 Month
Certification
Yes
Advanced Data Analyst ( Tableau & Power BI ) course in PCMC Pune
The Advanced Data Analyst Course in PCMC at IntelliBI Innovations Technologies is designed for learners who want to go beyond the basics of data analysis and master advanced tools used in the industry. This course helps students and working professionals gain hands-on experience with real-world projects, data visualization, and predictive analytics.
You’ll learn to work with tools like Power BI, Tableau, Excel, SQL, and Python to clean, process, and interpret complex datasets. The course also covers advanced topics such as data modeling, statistical analysis, business intelligence, and automation for reporting. Each module is built to help you understand how data can be used to make informed business decisions.
Our trainers are experienced data professionals who bring real-time project experience into every session. Along with technical learning, you’ll also develop problem-solving and analytical thinking skills that are highly valued by employers. Whether you aim to become a Data Analyst, Business Analyst, or BI Developer, this course gives you the confidence to handle large-scale data challenges.By the end of the program, you’ll have practical project experience, strong analytical skills, and a solid understanding of how to turn raw data into meaningful insights. Enroll in the Advanced Data Analyst Course in PCMC today and take the next step toward a successful career in data analytics.
Course Summary
Eligibility
Tech & Non-Tech Working professional, Freshers, Graduate from any domain.
Real time projects
Gain hands-on experience through projects that simulate real-world challenges, preparing you for a career in analytics.
Dedicated Profile Building
Along with learning, we help you with ATS resume building and LinkedIn profile optimization
Hands-on Industry Relevant Casestudies
Complete guidance for 25+ Assignments and case studies to help you gain the hands-on experience.
Live Doubt Solving
Get your queries solved with daily dedicated doubts solving sessions.
800+ Companies
Connect with top employers
Certification
10+ ISO Globally recognized certified
LMS Access for 2 Years
Get course recording access for 2 years after course completion.
Aspirational peer group
10K+ students & alumni across diverse domains. Dedicated Telegram virtual classroom for peer-to-peer support.
Instructor
Experts and trainer for top-tech companies.
Direct CRM Calls
Get shortlisted instantly
GitHub Enhancement
Showcase coding skills
Al Mock
Interviews Practice and improve with Al feedback
Placement Assistance Until Placed
Along with up skilling and preparing you for the job, we also help you for your search & your interview.
Mode of Learning
100% Live Learning Learn directly from experienced instructors in Live sessions, with an emphasis on practical, hands-on learning.
Program Name
LinkedIn Optimization
Program Duration
Eligibility
Real time projects
Dedicated Profile Building
Live Doubt Solving
800+ Companies
Certification
LMS Access for 2 Years
Aspirational peer group
Hands-on Industry Relevant Casestudies
Instructor
Direct CRM Calls
GitHub Enhancement
Al Mock Interviews
Mode of Learning
Placement Assistance Until Placed
Syllabus Summary
A Comprehensive Curriculum Designed for Real-World Success
- Type of Statements, Constraints, Clauses
- Functions, Joins, Subqueries, Set Operators
- Analytical Functions, Pivot/Unpivot, Partitions
- Indexes, Views, Sequences, Synonyms
- Performance Tuning
- Stored Procedure & Stored Function
- Cursors, Exception Handling
- Introduction, Data Types (Tuple, List, Dict, Set)
- Control Statements, User-Defined Functions
- String Operations, File & Error Handling
- NumPy, Pandas
- Visualization: Matplotlib, Seaborn
- Automation & Real-World Cases
- Data Cleaning & Transformation
- Validation & Conditional Formatting
- Pivot Tables, Charts, Power Query & Power Pivot
- Macros for Automation
- Data Types, Decision Statements, Loops
- Built-in Functions, Joins
- Visualization with ggplot2, Data Manipulation with dplyr
- Master Data Quality Checks & Profiling
- Advanced Data Modeling& Time Intelligence Techniques
- Dynamic Row-Level Security, Al-Embedded Visuals
- Drillthrough Analytics, What-If Analysis, Custom Tooltips
PowerBI - Optimization with Query Folding, Scalable Dataflows
- Auto-Refresh, Gateway & Service Administration
- Interactive Reports: Bookmarks & Navigation
- Connect & Clean Data from Multiple Sources
- Visual Analytics: Drilldowns, Sorting, Grouping, Clustering
- Advanced Filtering, Parameters, Interactivity
- Complex Calculations (aggregate, date, logical, string)
- Geographical Data Visualization, Data Storytelling
- Dashboard Packaging & Publishing
- Data Cleaning & Transformation
- Validation & Conditional Formatting
- Pivot Tables, Charts, Power Query & Power Pivot
- Macros for Automation
Syllabus Summary
A Comprehensive Curriculum Designed for Real-World Success
- Type of Statements, Constraints, Clauses
- Functions, Joins, Subqueries, Set Operators
- Analytical Functions, Pivot/Unpivot, Partitions
- Indexes, Views, Sequences, Synonyms
- Performance Tuning
- Stored Procedure & Stored Function
- Cursors, Exception Handling
- Introduction, Data Types (Tuple, List, Dict, Set)
- Control Statements, User-Defined Functions
- String Operations, File & Error Handling
- NumPy, Pandas
- Visualization: Matplotlib, Seaborn
- Automation & Real-World Cases
- Spark Overview
- Spark Architecture
- Transformations, Actions & Lazy Evaluation
- Series & DataFrame Basics
- Spark SQL
- DataFrame Operations
Filtering & Sorting
Built-in Functions & Case Statements
Aggregations & Grouping
Joins & Window Functions
Set Operators
GlobalTemp Views
Analytic Functions
Reading File Formats
Parquet, CSV, JSON
Nested DataFrames - SCD Type 1 (Slowly Changing Dimension)
- SCD Type 2
- Data Factory, Databricks, Synapse
- Storage, Data Lake, Blob Storage, Lake Storage
- Cosmos DB, Logic Apps, API Management
- Event Hub, loT Hub
- Data visualization using Power BI
- Data Modelling
- Power Query
- Advanced visualizations
- DAX
- Build data analytics project using Power BI
- Basics & Navigation
- Formulas & Functions
- Data Management
- Charts & Visualization
- Advanced Analysis
- Profile Management with GitHub
Top Hiring Industries in India for Data Analytics
Career Support Services
Resume Building
Linkedin Optimaztion
Access To Job Board
Interview Calls
GitHub Portfolio
IntelliBI Azure Data Engineering Certification
Course Highlights
- Course Duration
- 250+ Hours /
- 4 Months
-Pre-Class-
-Pre Career Counseling,
-Technical Evaluation
-Sessions- Technical,
-Softskill, Mentor,
-E-Consultation.
-Technical
-Assignments
-300+ Case Studies
-Industry Real
-World Project 4
-Mock Interviews 5
-Student Internship
-Dashboard
-Resume Preparation,
-Interview Guidance
-Job Readiness,
-Placement support
Our Learners Got Assured Placement. So Can You!
Students reviews
Real stories. Real success.
Real students.
1. Why Learning Advanced Data Analyst with Azure & with PowerBI is a Long-Term Investment:
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 BI 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
- 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 Developers
6. Career Opportunities
- For Experienced Professionals:
- Azure Data Engineer
- Cloud Data Engineer
- Big Data Engineer
- Data Analyst
- Business Intelligence (BI) 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:
8. Eligibility Criteria:
- 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:
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:
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.