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Data Analytics Course in Pimple Saudagar

Dreaming of a well-paying career? The answer is here!

India has an urgent demand for Data Analysts. Master the art of data-driven decision-making with our comprehensive Data Analytics course! Learn data visualization, statistical analysis, SQL, Python, and machine learning techniques. Gain hands-on experience with real-world projects and industry tools. Start your journey toward a career in data analytics today.
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Fuel Your Ambition with Expert Guidance

Course Includes

Projects

Assignments

Lifetime Access

Certificate

(Course Completion)

Interview Preparation

(DSA and Soft skills training)

100% Placement Assistance

(Actual Interview Calls)

Data Analytics Course in Pimple Saudagar, Rahatani, Ravet, Wakad, PCMC, Pimple Nilakh, Sangvi, Pimple Gurav, Bhosari, Punawale, Hinjawadi

Are you looking for a Data Analytics Course in Pimple Saudagar where you can learn how to use the various tools required for data analytics and business intelligence? ITView Inspired Learning provides an all-inclusive and practical Data Analytics course where you will learn how to use SQL, Python, Power BI using AI tools and Copilot, Tableau, Advanced Excel, and AI for Data Analytics.

The Data Analytics course is aimed at helping you gain practical knowledge about collecting, cleaning, analyzing, visualizing, and communicating insights from data.

Data Analytics Training in Pimple Saudagar

Data Analytics enables companies to derive actionable information from the collected data which may be used for making decisions.

At ITView Inspired Learning, the Data Analytics course includes a learning journey that encompasses programming, database management, spreadsheets, visualization, business intelligence, and contemporary AI-based analytics. ITView Provide 100% placement assistance with unlimited interview calls.

Course Modules

  • SQL
  • Python
  • Power BI with AI Tools & Copilot
  • Tableau
  • Advanced Excel
  • AI for Data Analytics

SQL Training

SQL (Structured Query Language) is an essential skill for working with structured data stored in relational databases.

The SQL module helps learners understand how to retrieve, filter, transform, and analyze data.

Key SQL Topics

  • SQL fundamentals
  • Database concepts
  • Tables and relationships
  • SELECT statements
  • Filtering and sorting
  • Aggregate functions
  • GROUP BY and HAVING
  • Joins
  • Subqueries
  • Data manipulation
  • Queries for data analysis
  • Window functions

SQL skills can be applied to extracting datasets for reporting, dashboards, and business analysis.

Python for Data Analytics

Python is widely used for data analysis because of its programming capabilities and extensive ecosystem of data-related libraries.

The course introduces Python as a tool for working with and analyzing datasets.

Python Topics

  • Python fundamentals
  • Variables and data types
  • Conditional statements
  • Loops
  • Functions
  • Lists, tuples, dictionaries, and sets
  • File handling
  • Data processing
  • Data analysis concepts

Learners can further use Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn for practical data analysis and visualization.

Power BI with AI Tools & Copilot

The course includes Power BI for business intelligence, reporting, dashboard creation, and data visualization.

Learners also explore AI-assisted Power BI capabilities and Copilot-related workflows, where applicable to the available Power BI environment and licensing.

Power BI Topics

  • Power BI fundamentals
  • Connecting data sources
  • Data preparation
  • Data transformation
  • Data modeling
  • Relationships
  • DAX fundamentals
  • Measures
  • Interactive dashboards
  • Reports and visualizations
  • Filters and slicers
  • Publishing and sharing reports
  • AI-assisted analytics
  • Copilot concepts in Power BI

Power BI enables analysts to turn datasets into interactive reports and dashboards that can communicate business insights clearly.

Tableau Training

Tableau is a popular data visualization and business intelligence platform.

The Tableau module helps learners understand how to create visualizations and dashboards from datasets.

Tableau Topics

  • Tableau fundamentals
  • Connecting data
  • Data preparation
  • Charts and graphs
  • Filters
  • Calculated fields
  • Dashboards
  • Interactive visualizations
  • Data storytelling
  • Business reporting

Learners can use Tableau to present complex datasets through interactive and visually understandable dashboards.

Advanced Excel Training

Excel remains an important tool for data analysis and business reporting.

The Advanced Excel module focuses on features used for organizing, analyzing, and reporting data.

Advanced Excel Topics

  • Advanced formulas
  • Functions
  • Data cleaning
  • Sorting and filtering
  • Conditional formatting
  • Lookup functions
  • Pivot Tables
  • Pivot Charts
  • Data validation
  • Charts and dashboards
  • Data analysis techniques
  • Reporting and presentation

Advanced Excel skills can complement SQL, Python, Power BI, and Tableau knowledge.

AI for Data Analytics

Artificial Intelligence is increasingly being incorporated into data analysis workflows.

The course introduces AI for Data Analytics to help learners understand how AI tools can assist with tasks such as:

  • Data exploration
  • Data interpretation
  • Generating insights
  • Report assistance
  • Data visualization support
  • Query assistance
  • Summarizing datasets
  • Automating repetitive analytical tasks
  • AI-assisted business reporting

The AI component is designed to complement core analytics skills rather than replace fundamental knowledge of data, statistics, databases and visualization.

Complete Data Analytics Learning Path

The course provides a structured progression:

Advanced Excel
↓
SQL
↓
Python
↓
Power BI
↓
Tableau
↓
AI Tools & Copilot
↓
AI for Data Analytics
↓
Business Intelligence & Data Visualization

This combination helps learners understand different stages of the data analytics workflow.

Data Analytics Workflow

Learners can understand how different tools can work together in a typical analytics project:

Raw Data
↓
SQL / Excel
↓
Data Cleaning & Preparation
↓
Python / Analytics
↓
Data Analysis
↓
Power BI / Tableau
↓
Dashboards & Reports
↓
AI-Assisted Insights
↓
Business Decisions

Who Can Join the Data Analytics Course?

The course can be suitable for:

  • Students
  • Engineering graduates
  • BCA and MCA students
  • Commerce graduates
  • MBA students
  • Freshers
  • Working professionals
  • Business professionals
  • Aspiring Data Analysts
  • MIS professionals
  • Professionals looking to upgrade their analytics skills
  • Beginners interested in Data Analytics

Why Learn Data Analytics?

The skills in Data Analytics are applicable in several areas of an organization because the data is used in reporting, performance measurement, forecasting, customer analytics, and decision-making.

Knowledge of several analytics tools will enable people to learn the diverse ways of handling data.

The ITView Inspired Learning program brings together:

SQL + Python + Excel + Power BI + Tableau + AI

into one structured Data Analytics learning path.

Career Opportunities After Data Analytics Training

After developing the relevant technical and analytical skills, learners can explore roles such as:

  • Data Analyst
  • Junior Data Analyst
  • Business Analyst
  • BI Analyst
  • Reporting Analyst
  • MIS Analyst
  • Data Visualization Analyst
  • Business Intelligence Professional

Actual job requirements vary by organization and role.

Why Choose ITView for Data Analytics Course in Pimple Saudagar?

ITView Inspired Learning focuses on developing practical skills across the modern Data Analytics ecosystem.

Key Learning Areas

  • SQL and database analysis
  • Python for data analysis
  • Advanced Excel
  • Power BI
  • Tableau
  • Data visualization
  • Business intelligence
  • AI tools for analytics
  • Copilot-assisted analytics concepts
  • Data-driven reporting

This combination gives learners exposure to both traditional analytics tools and modern AI-assisted approaches.

Placement Assistance

For many students, learning technology is only the first step. The next challenge is preparing for interviews and finding suitable opportunities.

ITView’s Data Analytics Course in Pimple Saudagar includes 100% placement assistance with unlimited interview calls. The placement-focused support is intended to help learners prepare for the transition from training to employment.

Data Analytics Certification Course Outline

Duration : 6 months

Sessions :

  • Weekdays – 4 per week
  • Weekends – 2 per week

Prerequisites :

  • There is no such Prerequisites for this course.
  • Basic computer knowledge will be advantage.
Topics:

Database

Python

Advanced Excel

Tableau

PowerBI

Skills Covered:

Database Concepts

Data Analysis Concepts

Functions Charts & Slicers

Data Visualization

FAQs – Data Analytics Course in Pimple Saudagar

1. What is a Data Analytics Course?

In the Data Analytics Course, students will learn how to gather, cleanse, analyze, visualize, and understand data by making use of software like SQL, Python, Excel, Power BI and Tableau.

2. What are the contents of Data Analytics Course at ITView Inspired Learning?

The topics include SQL, Python, Power BI with AI Tools and Copilot, Tableau, Advanced Excel and AI in Data Analytics.

3. Is SQL included in the Data Analytics course?

Yes. SQL is included to help learners work with databases and retrieve and analyze structured data.

4. Does the course include Python?

Yes. Python is included for programming, data processing, and data analysis. Learners can also work with Python’s data-analysis ecosystem.

5. Is Power BI included?

Yes. The course includes Power BI for data modeling, visualization, dashboards, reports, and business intelligence.

6. Does the Power BI course include AI and Copilot?

Yes. The curriculum includes AI tools and Copilot-related Power BI concepts, subject to the capabilities and licensing available in the learner’s Power BI environment.

7. Is Tableau included in the course?

Yes. Learners are introduced to Tableau for data visualization, dashboards, reporting, and data storytelling.

8. Does the course include Advanced Excel?

Yes. Advanced Excel is an important part of the curriculum, covering advanced formulas, Pivot Tables, data analysis, charts, and reporting.

9. What is AI for Data Analytics?

AI for Data Analytics entails the application of AI-enabled tools to help perform tasks like data exploration, analysis, visualization, summarization, reporting, and other forms of analytics.

10. Is this course right for beginners?

Yes. This course can be done in an incremental manner, where one starts by learning about analytics tools and concepts, before progressing to Python, Business Intelligence (BI) and AI-driven analytics.

11. Does programming knowledge matter for learning Data Analytics?

Programming knowledge is not mandatory. One can start with basic analytics and acquire Python skills as part of this course.

12. Can working individuals take this Data Analytics course?

Yes. Working individuals can use this course to gain or sharpen their skills in SQL, Excel, Python, Power BI, Tableau and AI-driven analytics.

13. Is Python necessary for Data Analytics?

Python is a useful skill when it comes to data analytics, especially for data processing, automation, and analysis. But analysts usually use other tools such as SQL, Excel, Power BI, and Tableau too.

14. What are the tools that are taught in this course?

The important tools and technologies used in this course include:

SQL | Python | Advanced Excel | Power BI | Tableau | AI Tools | Copilot

15. Where should I learn Data Analytics in Pimple Saudagar?

Data Analytics Course in Pimple Saudagar by ITView Inspired Learning provides you with knowledge in SQL, Python, Power BI, Tableau, Advanced Excel and AI for Data Analytics.

Start Your Data Analytics Journey

Develop practical skills in SQL, Python, Advanced Excel, Power BI, Tableau and AI-powered analytics with ITView Inspired Learning.

Contact Us today!

Learn Data. Analyze Insights. Build Dashboards. Use AI.

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