Course Overview
Build a future-ready career with our Data Analyst Course in Nashik at Gurukul Computer Education. This comprehensive Data Analyst Course is designed for beginners to advanced learners who want to develop practical skills in collecting, cleaning, analyzing and visualizing data to generate meaningful business insights. The course starts with Data Analysis and Python, covering Python installation, variables, data types, operators, control structures and essential data structures such as Lists, Tuples, Dictionaries and Sets. Students also learn NumPy and Pandas for data manipulation and file handling. The Database Management & SQL module provides practical training in MySQL, including advanced SQL queries, Joins, Subqueries, Aggregations, data insertion, updating and deletion, along with database administration and optimization concepts. Students learn Data Cleaning and Preprocessing with Pandas and develop strong data visualization skills using Matplotlib and Seaborn. The course also includes Power BI, from data importing and visualization fundamentals to advanced visualizations and interactive dashboards. The program introduces Machine Learning and Deep Learning, including TensorFlow basics, neural networks with Keras, Deep Learning fundamentals, CNNs, RNNs and introductory Natural Language Processing concepts. Learners also develop advanced reporting and visualization skills through Tableau, including data connections, data blending, advanced visualizations, calculations, dashboard design and data storytelling. Advanced Excel covers functions, formulas, data cleaning, Pivot Tables, advanced analysis and automation using Macros and VBA. The Data Analyst Course in Nashik combines Python, SQL, Excel, Power BI, Tableau and data visualization with practical analytical skills to prepare learners for roles in Data Analytics, Business Intelligence, MIS Reporting and Data Visualization.
Syllabus & Modules
- Introduction to Data Analysis
- Python Installation & Setup
- Python Variables
- Data Types
- Operators
- Control Structures
- Lists
- Tuples
- Dictionaries
- Sets
- File Handling
- NumPy
- Pandas for Data Manipulation
- Introduction to MySQL
- Advanced SQL Queries
- Joins
- Subqueries
- Aggregations
- Data Insertion
- Data Updating
- Data Deletion
- Database Administration
- Database Optimization Techniques
- Data Cleaning with Pandas
- Data Preprocessing
- Data Manipulation with Pandas
- Matplotlib
- Seaborn
- Introduction to Power BI
- Power BI Data Importing
- Power BI Visualization Basics
- Advanced Power BI Visualizations
- Interactive Power BI Dashboards
- Introduction to Machine Learning
- TensorFlow Basics
- Building Neural Networks
- Training Neural Networks with Keras
- Deep Learning Fundamentals
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Natural Language Processing (NLP) Basics
- Introduction to Tableau
- Tableau Interface
- Basic Data Visualization
- Data Connection in Tableau
- Data Blending
- Advanced Visualization Techniques
- Tableau Calculations
- Dashboard Design
- Data Storytelling with Tableau
- Excel Functions & Formulas for Data Analysis
- Data Cleaning & Formatting in Excel
- Pivot Tables
- Advanced Data Analysis Techniques
- Macros & VBA Programming in Excel
Eligibility Criteria
Career Opportunities
Data Analyst
Collect, clean, analyze and visualize data to identify trends and generate meaningful business insights.
Business Intelligence Analyst
Create dashboards, reports and data-driven insights using Power BI, Tableau, Excel and other analytical tools.
MIS / Reporting Analyst
Prepare analytical reports, dashboards and management information using Excel, Power BI and business data.
Data Visualization Analyst
Transform complex datasets into interactive charts, dashboards and visual stories using Power BI, Tableau and Python libraries.
Junior Python Data Analyst
Use Python, Pandas and NumPy to clean, transform and analyze datasets and support data analytics projects.
SQL / Database Analyst
Work with relational databases, SQL queries, data extraction, joins, aggregations and database-related analytical tasks.
Software & Tools Covered
Ready to enroll in Data Analyst Course?
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