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Data Analytics Course in Jaipur

Data Analytics Course in Jaipur

Course Feature

Data Analytics

  • Duration 3 Months
  • Class Timings 1.5 hour a day, 5 days a week
  • Eligibility

Course Features

  • Duration:3 months
  • Students:Max 10
  • Skill LeveAdvanced
  • LanguageEnglish / Hindi
  • Opening10am to 7pm
  • ClassesOn System

Data Analytics Course in Jaipur

The scope of a Data Analytics course in Jaipur is expanding rapidly, driven by the growing demand for data-driven insights across various industries. Jaipur’s IT sector, along with industries such as finance, healthcare, retail, and e-commerce, is increasingly relying on data analytics to make informed business decisions. Completing a data analytics course opens up career opportunities as Data Analysts, Business Analysts, and Data Scientists. The city’s thriving tech ecosystem, combined with the increasing adoption of analytics tools like Python, SQL, Power BI, and Tableau, ensures that trained professionals will have numerous opportunities. Additionally, the rise of remote work and freelancing provides further flexibility, making data analytics a highly valuable and rewarding field in Jaipur’s job market.

Data Analytics Institute in Jaipur

The Data Analytics course at DAAC in Jaipur offers a comprehensive curriculum designed to equip students with the skills required to analyze and visualize data for informed decision-making. The course covers key tools such as Excel, SQL, Python, R, Tableau, and Power BI, along with advanced topics like data cleaning, statistical analysis, machine learning, and business intelligence. Students gain practical experience through real-world projects, simulating industry scenarios, and receive guidance from experienced trainers. With flexible learning options (online and offline) and recognized certification, DAAC’s Data Analytics course is ideal for aspiring data analysts, business analysts, and anyone looking to transition into this high-demand field.

Data Analytics Course Syllabus

The Data Analytics course syllabus is designed to equip students with a comprehensive understanding of data analysis, starting from the basics to advanced techniques. It covers essential topics like data collection, cleaning, and transformation, along with statistical analysis methods such as descriptive statistics, hypothesis testing, and regression analysis. Here you can see our Data Analytics Syllabus:-

MODULE - 1

Data Analytics

Excel for Data Analytics

  • Introduction to Excel Interface and Functions
  • Data Cleaning: Remove duplicates, text functions, data validation
  • Data Analysis: Pivot Tables, Pivot Charts
  • Lookup Functions: VLOOKUP, HLOOKUP, INDEX-MATCH
  • What-if Analysis: Scenario Manager, Goal Seek, Solver
  • Basic Data Visualization: Charts and Conditional Formatting
Minor Exam and Project

MODULE - 2

BI Essentials

Power BI Essentials

  • Overview of Power BI Desktop and Service
  • Connecting and importing data sources
  • Data transformation using Power Query Editor
  • Building visual reports: bar charts, slicers, maps
  • Creating interactive dashboards
  • Publishing and sharing reports
Minor Exam and Project

MODULE - 3

Python

Python for Data Analytics

  • Introduction to Python and Jupyter Notebooks
  • Data handling with pandas (DataFrames, cleaning, filtering)
  • Numerical operations using numpy
  • Data visualization with matplotlib and seaborn
  • Writing reusable scripts for automation
  • Basic statistical analysis with Python libraries
Minor Exam and Project

MODULE - 4

SQL

SQL for Data Analytics

  • Basics of SQL: SELECT, WHERE, ORDER BY
  • Filtering and aggregating data (GROUP BY, HAVING)
  • JOINs: INNER, LEFT, RIGHT, FULL
  • Subqueries and Common Table Expressions (CTEs)
  • Window functions overview (ROW_NUMBER, RANK)
  • Practice querying real-world datasets
Minor Exam and Project

MODULE - 5

Tableau

Tableau for Visualization and Dashboards

  • Introduction to Tableau interface and data connections
  • Creating basic to advanced visualizations (bar charts, heat maps, geographic maps)
  • Building interactive dashboards with filters and parameters
  • Calculated fields and table calculations
  • Publishing and sharing Tableau dashboards
  • Storytelling with data using Tableau stories
Minor Exam and Project

MODULE - 6

Project

Integration and Capstone Project

  • Combining tools in analytics workflows
  • Hands-on project involving data extraction (SQL), cleaning (Excel/Python), analysis (Python/Power BI), and visualization (Power BI/Tableau)
  • Project presentation and feedback session
Minor Exam and Project

Why choose DAAC for Data Analytics Course in Jaipur

With our Data Analytics Courses and Specializations, we are the leading training institute for Data Analytics in Jaipur. Our programs have helped thousands of trainees launch their careers. Here are some reasons to choose DAAC for your Data Analytics institute in Jaipur

  • Hands-on experience with live projects.
  • We help you obtain Data Analytics training, certifications, & jobs in Jaipur.
  • We offer free demo sessions.
  • Experienced faculty.
  • Both practical and theoretical classes are taught.

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Benefits of Studying Data Analytics Course

  • High Demand: Data analytics skills are in high demand across various industries.
  • Career Growth: Opens doors to roles like Data Analyst, Business Analyst, and Data Scientist.
  • Practical Tools: Gain hands-on experience with Excel, SQL, Python, Tableau, and Power BI.
  • Problem-Solving Skills: Enhance your ability to solve complex problems using data.
  • Job Security: Data-related jobs are future-proof and in growing demand.
FAQ

Most Comment Question?

Data Analytics is the process of examining and interpreting large sets of data to uncover hidden patterns, correlations, and insights that can be used for decision-making, predictions, and business improvements. 

The course is suitable for aspiring data analysts, business analysts, data scientists, and anyone interested in working with data to solve problems and make informed decisions. It’s also ideal for professionals looking to shift careers to data analytics.

You'll learn skills such as data cleaning, data visualization, statistical analysis, predictive analytics, and how to use tools like Excel, Python, R, SQL, Tableau, and Power BI.

No, many Data Analytics courses start with the basics. However, familiarity with basic programming concepts can be helpful, especially if you're learning Python or R for data analysis.

The duration can vary depending on the course type. A full-time course may take 3 months.
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