Statistics For Data Science Course in Bangalore

4achievers in Bangalore is one of the best Statistics For Data Science training institutes in the city. 4Achievers institute offers a comprehensive course in Statistics For Data Science that is designed to equip students with the necessary skills and knowledge to succeed in the field. 4Achievers course covers topics such as data analysis, data visualization, and machine learning. 4Achievers also provides students with the opportunity to gain hands-on experience with real-world datasets. 4Achievers course fees are affordable and the institute also offers internships and job placements. 4Achievers course syllabus is designed to cover all the essential topics related to Statistics For Data Science and the course is also available online. Additionally, the institute also offers courses after 12th grade that are tailored to the needs of the students. So don't hesitate! Contact us today on +91 8010805667 or send us an email at info@4achievers.com to learn more about the best Statistics For Data Science course in Bangalore and the course near you.

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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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QA Testing Engineer,software test engineerExp0/5

Axieva Technology • Pune | Delhi/ncr | Mumbia

Full Time
3.5 LPA 0/5 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

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

Posted 2 years ago

Software QA Engineer/ Software Tester

MY HR Solutions • New Delhi

Full Time
3.5 LPA / Yrs Exp Remote

Design, execute and report software tests, Review business / software requirements and provide inputs. Prepare test cases, test scripts and test data., Execute tests (manual / automated). Report defects and assist in their understanding., Analyse test re

Posted 2 years ago

DevOps Engineer

Spinny • Gurgaon/gurugram

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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

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Statistics For Data Science in Bangalore Curriculum

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

Statistics For Data Science in Bangalore 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 - Statistics For Data Science

6 Topics • Hands-on Lab

  • Overview
  • Concepts
  • Scope
  • Tools
  • Basics
  • Use Cases
02

Fundamentals - Statistics For Data Science

6 Topics • Hands-on Lab

  • Core Concepts
  • Architecture
  • Workflow
  • Design
  • Implementation
  • Examples
03

Tools & Setup - Statistics For Data Science

6 Topics • Hands-on Lab

  • Installation
  • Environment Setup
  • Configuration
  • Tools
  • Usage
  • Best Practices
04

Core Module 1 - Statistics For Data Science

6 Topics • Hands-on Lab

  • Concept A
  • Concept B
  • Hands-on
  • Examples
  • Practice
  • Assignments
05

Core Module 2 - Statistics For Data Science

6 Topics • Hands-on Lab

  • Concept C
  • Concept D
  • Projects
  • Use Cases
  • Advanced
  • Practice
06

Advanced Concepts - Statistics For Data Science

6 Topics • Hands-on Lab

  • Deep Dive
  • Optimization
  • Scaling
  • Security
  • Debugging
  • Best Practices
07

Integration - Statistics For Data Science

6 Topics • Hands-on Lab

  • API
  • Database
  • Third-party
  • Automation
  • Testing
  • Deployment
08

Testing - Statistics For Data Science

6 Topics • Hands-on Lab

  • Unit Testing
  • Integration Testing
  • Debugging
  • QA
  • Performance
  • Security
09

Project Work - Statistics For Data Science

6 Topics • Hands-on Lab

  • Live Project
  • Implementation
  • Client Use Case
  • Execution
  • Review
  • Delivery
10

Career & Placement - Statistics For Data Science

6 Topics • Hands-on Lab

  • Resume
  • Interview
  • Portfolio
  • LinkedIn
  • Mock
  • Jobs

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Node.JS Agile Activity - Student participation at 4Achievers

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LoadRunner Agile Activity - Student participation at 4Achievers

Big Data Hadoop Agile Activity - Student participation at 4Achievers

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Big Data Hadoop Agile Activity - Student participation at 4Achievers

Class Schedule

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AWS & DevOps

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

Weekends
Morning Batch (IST)
Duration: 8 Weeks
Instructor Aslam Khan

Aslam Khan

AWS & DevOps Engineer

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Data Science with Python

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

Weekdays
Evening Batch (IST)
Duration: 8 Weeks
Instructor Manab Das

Manab Das

Data Science Expert, Python

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Full Stack Development (Java + UI/UX)

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

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Noon Batch (IST)
Duration: 8 Weeks
Instructor Ganesh Dutt

Ganesh Dutt

Java Full Stack Developer, UI/UX

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Training In Data Science With R Programming Course

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Training In MS Project

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"I recently took the Corporate Training in Machine Learning course provided by 4achievers. It was a great experience! The instructors were knowledgeable and friendly, and the course material was comprehensive and well-structured. The course was divided into three parts: Introduction to Machine Learning, Deep Learning, and Reinforcement Learning. Each part was clearly explained and the course included hands-on exercises to help us apply the concepts we were learning. The course also provided resources to help us further our learning. Overall, I would highly recommend this course to anyone interested in learning more about Machine Learning."
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