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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MD TAURET AKHTAR hired as TEST ENGINEER at SIM Solutions (P) Ltd.

MD TAURET AKHTAR

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SIM Solutions (P) Ltd.
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Batch 2025
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InnovationM Technology Solution ,Noida
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That support system is rare. We built a Real-time E-commerce App as a capstone project. Seeing my code run live gave me confidence I never had before.

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Software Developer, Cloud Support

Newgen • Delhi

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First touchpoint for customer Initial handling of all customer tickets Track to closure of customer tickets by assisting the responsible teams System software and AWS/Azure infrastructure L1/L2 support Newgen solution / application L1/L2 support Responsib

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Developing and deploying new applications on the windows azure PAAS platform using C#, .net core . Participation in the creation and management of databases like SQL server and MySQL Understanding of data storage technology (RDBMS, NO SQL). Manage applica

AWS Program Highlights

Everything you need to know about our Cloud Computing course structure.

Cloud Program Overview

A holistic approach to AWS Cloud Computing, covering instances, storage, and serverless architecture.

What you will learn:

  • Compute: EC2 Instances, Auto Scaling, Elastic Beanstalk
  • Storage: S3 Buckets, EBS Volumes, Glacier
  • Database: RDS (SQL), DynamoDB (NoSQL), ElastiCache

Certification Value

Prepares you for the AWS Certified Solutions Architect Exam.

AWS Certified NASSCOM

AWS Tools & Eligibility

Master 15+ AWS Industry-standard tools. Open for freshers and IT professionals.

Cloud Tech Stack Covered:

Category AWS Services
Security & Identity IAM, AWS Cognito, Key Management Service (KMS)
DevOps & Automation AWS CodePipeline, CloudFormation, Git
Monitoring CloudWatch, AWS CloudTrail, SNS Alerts
Eligibility: Graduates (B.Tech, BCA, B.Sc) or Final Year Students. No coding background required.

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100% Placement assistance, AWS resume building, and mock interviews.

AWS Roles you can target:

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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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Master Python, data analysis, visualization and machine learning basics.

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Build end-to-end web apps using Java, frontend frameworks and UI/UX.

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Java Full Stack Developer, UI/UX

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Ravi Wagh

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"I recently completed the internship course provided by 4achievers and must say that it was an amazing experience. The course was well structured and covered a wide range of topics related to software development. The trainers were very knowledgeable and helpful. They provided us with real-world examples and case studies to help us better understand the concepts. The course also included a lot of hands-on activities which were very helpful in understanding the concepts. Overall, I am very satisfied with the course and would highly recommend it to anyone looking to gain some experience in software development."
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Neha Saini

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"I recently completed the Data Analytics course from 4achievers and I must say that it was a great learning experience. The course was well-structured, covering all the essential topics related to data analytics. The material was well-presented and easy to understand. The teachers were very knowledgeable and gave helpful tips and advice throughout the course. Their guidance and support was a great help in understanding the concepts more deeply. The practical sessions were also very useful and enabled me to apply the theoretical knowledge in real-life scenarios. Overall, it was a great learning experience and I would highly recommend the course to anyone interested in the field of data analytics."
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