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Best Data Analytics Training in Jaipur – DAAC Institute

Best Data Analytics Training in Jaipur – DAAC Institute

With a Data Analyst course in Jaipur in collaboration with IBM, you can kick start your career in data analysis. This course will learn Python, Tableau, Hadoop, Spark, and R. Data analytics has gained the utmost importance and growth. Data analytics and its techniques play a crucial role in technologies such as artificial intelligence and machine learning. Many Data Analytics training centers in Jaipur offer different Data Analytics training and certification, offering great career opportunities. Various skills and tools are involved with Data Analytics Training in Jaipur, such as Statistical Analysis, Machine Learning, Predictive Analysis, Regression Modeling, Deep Learning, Hypothesis Testing, Natural Language Processing, and programming languages like R & Python, and many more.

In India, what are the scopes of data analytics?

According to experts, India is the vast data analytics market leader. Because of the country's transformations, the amount of data around us is increasing accelerated. Most businesses have become extremely important to employ prominent data professionals for valuable information insights. The following industries will benefit from renowned data professionals:

Banking
The banking sector increasingly relies on predictive analytics to improve consumer service and performance and catch problems before they become significant.

Manufacturing
Analytics provides insight into production plants' future income or output needs to scale up operations and maintain customer satisfaction when necessities change.

Retail
Retail personnel can benefit from the strength of using massive data to make predictions and better understand what motivates clients to buy and what incentives are most likely to get them to achieve their goals.

Health Care
In order to make accurate diagnoses or to determine the likely outcomes of treatments for human beings with certain conditions, analytics can be used.

IT (Information Technology)
Cutting-edge cyber security mechanisms heavily rely on data science. Data scientists have brought probability and statistics to the field of I.T. They also work closely with cyber security experts to combat threats faced in the industry.
A data analytics engineer's future responsibilities include:

Data Security
Information security will be transformed by analytics. We redefine differential privacy, intrusion detection, virtual watermarking, and malware countermeasures using analytics.

Internet of Things (IoT)
Analytics equipment and strategies to handle massive amounts of structured and unstructured data generated by IoT will gain importance as the Internet of Things (IoT) continues to overgrow.

Growth of Cognitive Analytics
There will be an increase in cognitive analysis in the coming days. Companies voice their needs louder and make the most of their data to gain financial benefit, which confirms the scope of information analytics in the future.

Open Source Solutions
There will be a resurgence of interest in 'Open Source Solutions.

Boost in demand for Data Scientists
Boost in demand for Data Scientists- a search for individuals who can combine quantitative analysis skills with the ability to create a compelling, visible story from their data.

Data Accuracy
Data Accuracy would become a source of concern for companies.

According to predictions, the volume of data will increase by 50 times by 2024. Companies must keep up with the demands of significant volumes of data to avoid becoming obsolete. Therefore, advanced analytics specialists are crucial for companies who want to alter their business models and stay competitive.

Last year, the companies with the most excellent variety of openings for data analysts were JPMorgan, Accenture, Microsoft, Adobe, Flipkart, AIG, Ernst & Young, Wipro, and Vodafone & Deloitte.

The outcomes of DAAC Data Analytics training in Jaipur

This course will understand the various techniques used to handle large data sets via data analytics. In this course, students learn about the technologies used to store and process vast amounts of data. Students will learn various techniques used to analyze structured and unstructured data and build visual stories using Tableau and PowerBI. Industry professionals who want to learn more about contemporary data frameworks. The Data Analytics course is the ideal course. During the three-month Data Analytics training in Meerut, you will learn about SQL, NoSQL, Tableau, PowerBI, and Advanced Excel concepts. Students will study relational database management systems and document-based database systems and how to retrieve, manipulate, and analyse large datasets. Also, they will be introduced to various concepts to represent data on the serving layer so that the results can be displayed in a more accessible and more readily consumable manner. It contains several applied case studies designed to help participants solve complex business problems, improving profitability.

  • Working with a variety of data generation sources
  • Data can be loaded, retrieved, updated, and deleted using RDBMS
  • Different SQL and NoSQL queries can be used to analyze structured and unstructured data
  • Understanding of document-based and row-oriented databases
  • Business decisions based on data-driven, visual insights
  • Create dashboards and reports for daily use
  • Data should be presented using advanced Excel concepts to make it easier to understand
  • Take proactive business decisions using live reports derived from streaming data.

Why DAAC is Best Institute for Data Analytics

Our training company specializes in Data Analytics and is based in Jaipur. We aim to develop your technical and artistic skills. We provide the necessary experience of training and working with a team of professional I.T. experts. It gives you a competitive advantage. Therefore, learn and develop Flutter skills to further your career. You will gain an edge in the market by taking advantage of this opportunity. Take your job to the next level by learning and developing in Flutter

  • Training from Experts
  • Affordable Fees
  • Learn from Basics
  • Thousands of happy alumni
  • 80% Practical
  • Job Oriented Course - Learn from Basics to Advanced Topics.
  • 100% Job Opportunities
  • Dedicated Placement Team - Check Recently placed students on site
  • Interview Prepare Sessions
  • Resume Building
  • Live Projects / Study Material etc. Provided
  • Reasonable charges
  • Expert Counselling
  • Free Demo

Syllabus of Data Analytics Course in Jaipur

Our training company specializes in Data Analytics and is based in Jaipur. We aim to develop your technical and artistic skills. We provide the necessary experience of training and working with a team of professional I.T. experts. It gives you a competitive advantage. Therefore, learn and develop Flutter skills to further your career. You will gain an edge in the market by taking advantage of this opportunity. Take your job to the next level by learning and developing in Flutter

  • Training from Experts
  • Affordable Fees
  • Learn from Basics
  • Thousands of happy alumni
  • 80% Practical
  • Job Oriented Course - Learn from Basics to Advanced Topics.
  • 100% Job Opportunities
  • Dedicated Placement Team - Check Recently placed students on site
  • Interview Prepare Sessions
  • Resume Building
  • Live Projects / Study Material etc. Provided
  • Reasonable charges
  • Expert Counselling
  • Free Demo

Course Feature

Data Analytics

  • Duration 3 Months
  • Class Timings 1.5 hour a day, 5 days a week
  • Eligibility
DAAC|Data Analytics Course in Jaipur
  • Duration:3 months
  • Students:Max 10
  • Skill LeveAdvanced
  • LanguageEnglish / Hindi
  • Opening10am to 7pm
  • ClassesOn System

Data Analytics Course in Jaipur

Become a job-ready Data Analyst with hands-on training in Advanced Excel, SQL, Python (Pandas), and Power BI Desktop (Free). This industry-oriented program focuses on practical skills, real business problems, and portfolio-grade projects to help you launch or accelerate a data career.

The curriculum is designed for beginners and working professionals — covering data cleaning, exploratory data analysis (EDA), dashboard design, DAX & data modeling in Power BI, and interview-ready deliverables. All tools used in this course are free or have free tiers so every student can practice independently.

Why this Data Analytics Course?

This course is tailored for real-world hiring needs in 2025 — focusing on Power BI-driven business intelligence, SQL for analytics, Python-based data wrangling, and storytelling with dashboards. You’ll learn how to produce insights, build production-ready dashboards, and communicate results clearly to non-technical stakeholders.

Who should enroll?

Aspiring Data Analysts, business professionals transitioning to analytics, fresh graduates, or anyone who wants to gain practical data skills without heavy math or deep machine-learning prerequisites.

Core Tools Covered

Power BI Desktop, Excel (Advanced), MySQL/PostgreSQL, Python (Pandas, Matplotlib), Jupyter Notebooks, GitHub.

Updated Course Syllabus (Modules)

We kept the same module layout for easy site integration — but refreshed every module with the latest 2025 industry-ready topics and hands-on projects.

MODULE - 1

Foundations, Excel & Statistics

Excel for Data Analytics (Advanced)

  • Excel interface, data types & best practices for analysts
  • Data cleaning: text functions, TRIM, CLEAN, Remove duplicates, split/concat
  • Advanced Lookups: XLOOKUP, INDEX–MATCH, dynamic arrays (FILTER, SORT)
  • PivotTables, PivotCharts, Grouping, Calculated fields
  • Power Query basics inside Excel for ETL workflows
  • Basic dashboarding and visualization principles

Statistics & Business Math (Essentials)

  • Descriptive statistics (mean, median, variance, percentiles)
  • Probability basics & distributions overview
  • Correlation vs causation and simple linear regression
  • Hypothesis testing fundamentals (t-test, chi-square)
  • Interpreting statistical results for business decisions
Minor Exam & Project

MODULE - 2

SQL for Data Analytics

SQL (MySQL / PostgreSQL) — Industry-Level

  • Database concepts, table design, primary & foreign keys
  • Basic queries: SELECT, WHERE, ORDER BY, LIMIT
  • Aggregations: GROUP BY, HAVING, COUNT, SUM, AVG
  • JOINs: INNER, LEFT, RIGHT, FULL; when to use each
  • Subqueries, Common Table Expressions (CTEs)
  • Window functions (ROW_NUMBER, RANK, LEAD, LAG, OVER) — trending & essential
  • SQL for data cleaning and preparing analysis-ready datasets
Minor Exam & Project (SQL Business Case)

MODULE - 3

Power BI — Complete Business Intelligence

Power BI 

  • Installing Power BI Desktop & workspace setup
  • Connecting data sources: Excel, CSV, SQL databases
  • Power Query for ETL: merges, appends, transformations, data type fixes
  • Data modeling: star schema, relationships, cardinality & best practices
  • DAX fundamentals: measures, calculated columns, CALCULATE, FILTER
  • Time intelligence (YTD, MTD, rolling periods) and advanced DAX patterns
  • Visualizations: charts, maps, cards, tooltips, slicers, drill-through
  • Creating interactive dashboards & storytelling with bookmarks
  • Publishing to Power BI Service (free usage), workspace basics & sharing constraints
Minor Exam & Project (Power BI Dashboard)

MODULE - 4

Python for Data Analytics (Pandas & EDA)

Python Essentials for Analysts

  • Python setup, Jupyter Notebooks, and reproducible workflows
  • Pandas: Series, DataFrame, indexing, filtering, merges
  • Data cleaning & transformation with Pandas
  • Numerical operations with NumPy
  • Data visualization with Matplotlib & Seaborn
  • Exploratory Data Analysis (EDA) and feature creation
  • Exporting cleaned datasets for Power BI & reporting
Minor Exam & Project (Python EDA)

MODULE - 5

Business Analytics, Domain Use-Cases & Soft Skills

Business Analytics & Domain Applications

  • Sales & revenue analytics: conversion funnels, seasonality analysis
  • Marketing analytics: CAC, LTV, ROAS & campaign performance
  • HR analytics: attrition drivers, performance metrics
  • Finance & operations: variance analysis, KPI frameworks
  • Segmentation & cohort analysis for customer insights

Soft Skills for Analysts

  • Storytelling with data: how to present insights to stakeholders
  • Report writing & slide decks for business audiences
  • Interview preparation: case problems, SQL & dashboard tests
  • Building a GitHub portfolio and project README
Minor Exam & Project (Business Case)

CAPSTONE

Integration & Portfolio Projects

Capstone Projects (Portfolio Ready)

  • Project 1 — Retail Sales Performance Dashboard (Power BI + SQL)
  • Project 2 — Customer Segmentation & Cohort Analysis (Python + Power BI)
  • Project 3 — HR Analytics: Attrition & Retention Dashboard
  • Project 4 — Finance KPI & Variance Analysis Dashboard
  • Project 5 — Marketing Campaign Effectiveness Report (SQL + Power BI)
  • Presentation: Final project demo, peer review & trainer feedback
Final Project Assessment & Certificate
Why choose DAAC for Data Analytics Course in Jaipur

Why choose DAAC for Data Analytics Course in Jaipur

DAAC provides hands-on training, mentor-guided projects, and job-focused curriculum that matches hiring needs in 2025. Our trainers are industry practitioners who emphasize practical skills and portfolio building.

  • Live projects & real-world case studies
  • Certification & placement support
  • Flexible online & offline batches
  • Trainer support & doubt resolution
  • Interview & resume preparation
DAAC Contact

We Will Contact You, At a Time Which Suits You Best

Benefits of Studying Data Analytics Course

  • High demand across industries (finance, retail, healthcare)
  • Practical skills: SQL, Power BI, Python & Excel
  • Portfolio-ready projects for interviews
  • Career roles: Data Analyst, BI Analyst, MIS
  • Future-proof skills with Power BI & SQL window functions
Benefits of studying at DAAC Institute
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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