Data Analytics Course in Ghaziabad

4Achievers Training Institute in Ghaziabad offers a comprehensive Data Analytics course designed to equip students with the skills required to analyze and interpret complex data to help organizations make data-driven decisions. The course covers key concepts in data collection, cleaning, visualization, and analysis, using popular tools like Excel, Python, R, and Power BI. Whether you're a beginner or a professional looking to enhance your skills, this Data Analytics course in Ghaziabad provides hands-on experience and real-world examples to ensure you are job-ready.

Key Highlights of the Data Analytics Course:

  • Introduction to Data Analytics: Learn the basics of data collection, cleaning, and analysis.
  • Data Visualization: Master the use of tools like Power BI and Tableau for creating insightful dashboards.
  • Statistical Analysis: Understand statistical concepts and apply them using Python and R.
  • Machine Learning Basics: Introduction to basic machine learning models and their application in data analytics.
  • Hands-on Projects: Work on live projects to apply your learning and build a strong portfolio.
  • Placement Assistance: Get help with job placements, resume building, and interview preparation.

For more information or to enroll in the Data Analytics course in Ghaziabad, contact us at:
📞 8010805667

Start your data-driven career today with 4Achievers!

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Success Stories

Our Latest Placements

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Avivek Dwivedi hired as Data Analyst at Lincode labs

Avivek Dwivedi

Data Analyst
Lincode labs
16.0 LPA

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Experience Professional
Batch 2025
Neha Rani hired as Quality Analyst at Upperthrust Technologies Private Limited

Neha Rani

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Upperthrust Technologies Private Limited
11.0 LPA

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Batch 2025
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Avanendra Kumar

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I3 infosoft Pvt Ltd
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Experience Professional
Batch 2025
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Prince Wadhwa

QA Engineer
Infosys
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Experience Professional
Batch 2025
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Rakesh Kumar

QA Tester
Physics Wallah
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Experience Professional
Batch 2025
Manish Goyal hired as QA Engineer at QA Infotech

Manish Goyal

QA Engineer
QA Infotech
13.0 LPA

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Experience Professional
Batch 2025
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QA Testing Engineer,software test engineer

Laxmi Infotech • Chennai | Delhi/ncr | Mumbia

Full Time
3.5 LPA 0-3 Yrs Exp Remote

Good Knowledge in both Manual Testing and Automation Testing,Strong experience in writing test scenarios and test cases Strong knowledge on Selenium, Appium, Microsoft SQL and Jmeter Adept in functional testing and reporting defects

Posted 2 years ago

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Newgen • Delhi

Full Time
3.5 LPA 0-3 Yrs Exp Remote

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Posted 2 years ago

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Spinny • Gurgaon/gurugram

Full Time
3.5 LPA 0-3 Yrs Exp Remote

Experience of Dev Ops technologies, architectures and processes for 3 yrs Cloud Infrastructures Solutions: AWS EC2 ECS, S3 Cloudfront, RDS, Spot Instances, VPC, IAM, Security Groups, ELB etc), GCP, CI/CD Jenkins Containerization: Docker, Kubernetes System

Posted 2 years ago

Software Test Engineer

Pcc Softech • New Delhi

Full Time
3.5 LPA 0-3 Yrs Exp Remote

Design, execute and report software tests. Review business / software requirements and provide inputs. Prepare test cases, test scripts and test data. Report defects and assist in their understanding. Analyse test results and track software testing metric

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Our students are working in top MNCs and Startups across the globe.

Data Analytics Training in Ghaziabad Curriculum

Comprehensive 40+ hours of live content designed by industry experts.

Data Analytics Training in Ghaziabad Certification Course

5.2k+ Learners Weekend/Weekdays Batches Live Instructor-led
4.9 (2,840 Verified Reviews)

Detailed Syllabus

Click on modules to view detailed topics.

01

Introduction to Data Analytics

9 Topics • Hands-on Lab

  • Introduction to Data Analytics
  • Data Exploration and Visualization
  • Data Cleaning and Preprocessing
  • Predictive Modeling
  • Machine Learning Algorithms
  • Model Evaluation and Selection
  • Time Series Analysis
  • Big Data Analysis
  • Text Mining and Natural Language Processing
02

Data Collection and Preparation

5 Topics • Hands-on Lab

  • Data Sources
  • Data Acquisition
  • Data Cleaning
  • Data Transformation
  • Data Visualization
03

Exploratory Data Analysis

8 Topics • Hands-on Lab

  • Data Exploration
  • Data Visualization
  • Descriptive Statistics
  • Inferential Statistics
  • Data Mining Techniques
  • Regression Analysis
  • Time Series Analysis
  • Machine Learning Algorithms
04

Statistical Modeling

10 Topics • Hands-on Lab

  • Introduction to Statistics
  • Descriptive Statistics
  • Probability Theory
  • Statistical Inference
  • Regression Analysis
  • Multivariate Analysis
  • Time Series Analysis
  • Experimental Design
  • Machine Learning Algorithms
  • Model Evaluation and Selection
05

Machine Learning

13 Topics • Hands-on Lab

  • Introduction to Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Support Vector Machines
  • Naive Bayes
  • Clustering
  • Dimensionality Reduction
  • Ensemble Learning
  • Artificial Neural Networks
  • Deep Learning
06

Data Visualization

8 Topics • Hands-on Lab

  • Introduction to Data Visualization
  • Types of Data Visualization
  • Exploratory Data Analysis
  • Data Visualization Tools
  • Data Visualization Techniques
  • Data Visualization Best Practices
  • Data Visualization Dashboards
  • Data Visualization Challenges
07

Data Communication

7 Topics • Hands-on Lab

  • Introduction to Data Communication
  • Data Network Topologies
  • Network Protocols
  • Data Transmission
  • Network Security
  • Network Management
  • Wireless Communication
08

Data Governance

10 Topics • Hands-on Lab

  • Introduction to Data Governance
  • Data Governance Framework
  • Data Governance Processes
  • Data Quality Management
  • Data Security and Privacy
  • Metadata Management
  • Data Governance Automation Tools
  • Data Governance Best Practices
  • Regulatory Compliance
  • Data Governance in the Cloud
09

Big Data Analytics

10 Topics • Hands-on Lab

  • Introduction to Big Data
  • Understanding Data Warehousing
  • Exploring Hadoop and MapReduce
  • Working with NoSQL
  • Data Analysis with R
  • Introduction to Machine Learning
  • Advanced Machine Learning Techniques
  • Text Mining and Natural Language Processing
  • Predictive Analytics
  • Big Data Visualization
10

Advanced Data Analytics Techniques

10 Topics • Hands-on Lab

  • Introduction to Advanced Data Analytics
  • Data Preprocessing and Feature Engineering
  • Supervised Learning
  • Unsupervised Learning
  • Model Evaluation and Model Selection
  • Time Series Forecasting
  • Natural Language Processing
  • Deep Learning
  • Reinforcement Learning
  • Big Data Analytics

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Learn AWS services, DevOps tools and real-world cloud deployment workflows.

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