Data Analyst Training In Gandhinagar - Kudasan - Sargasan

Data-Analyst Course Syllabus

1. Introduction to Data Analytics

Overview of Data Analytics

Opportunities and Careers paths in Data Analytics

Roles and responsibilities of a Data Analyst

Data Analytics Case Studies

2. Data Visualization

Fundamentals of Data Visualization

Introduction to Power BI

Data Visualization using Power BI

3. Advanced-Data Visualization

Slicers and Filters in Power BI

Interactive Visualisations in Power BI

Creating Paginated Reports

Creating Dashboards in Power BI

4. Data Cleaning & Transformation using Excel / Power Query

Data Cleaning Techniques

Data Transformation Techniques

Introduction to Power Query

Data Types and Filters in Power Query

Inbuilt Column and Row Transformations

Creating a Query in Power Query

Combining Two Data Sets

5. Data Modelling & DAX

Introduction and Techniques to Data Modelling

Creating Measures in DAX

DAX Functions

6. Publishing Your Dashboards

Introduction to Power BI Service

Collaboration using Power BI

Creating Dashboards using Power BI Cloud/Service

Publishing Your Dashboard

7. Data Analysis using Python Libraries

Introduction to NumPy and Pandas

Indexing and Slicing NumPy arrays

Indexing and Filtering Pandas data frames and series

Modifying Pandas data frames and Series

8. Data Analytics using Tableau

Fundamentals of Tableau

Essential Design Principles for Visualization with Tableau

Creating Dashboards and Interactive Reports in Tableau

FAQs – Data Analyst Training in Gandhinagar

1. Who can join Data Analyst Training in Gandhinagar?

Data Analyst training is suitable for students, graduates, working professionals and beginners who want to build skills in data analysis, visualisation and reporting. Basic computer knowledge is helpful, but prior experience in data analytics is not essential.

2. What will I learn in the Data Analyst Course?

The course covers data analytics fundamentals, Excel and Power Query, Power BI, data visualisation, data modelling, DAX, Power BI Service, Python with NumPy and Pandas, and Tableau. It also includes practical data analysis and dashboard-related learning.

3. Does the Data Analyst course include Power BI training?

Yes, the course includes Power BI training covering data visualisation, slicers and filters, interactive visualisations, dashboards, paginated reports, data modelling, DAX and publishing dashboards through Power BI Service.

4. Will I learn Python for Data Analysis?

Yes. The training introduces Python libraries such as NumPy and Pandas. You will learn concepts such as working with arrays, filtering data, and modifying Pandas DataFrames and Series for data analysis.

5. Is practical project training included in the Data Analyst course?

Yes, the training focuses on practical learning through data analytics case studies, dashboard creation, data cleaning and transformation, visualisation and analysis using industry-relevant tools.

6. Can I start a career as a Data Analyst after completing the course?

The course can help you develop the technical skills required for entry-level Data Analyst roles, including data cleaning, analysis, visualisation, dashboard creation and reporting. Building practical projects and a strong portfolio can further support your job search.