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Data Science & Analytics Bootcamp Training

This intensive Data Science training is meticulously crafted to empower students with essential knowledge and skills pivotal for success in the dynamic field of data science. Embracing an extensive array of cutting-edge tools and technologies, students will gain proficiency across these platforms, preparing them for rewarding careers in data science and analytics.

Become a Skilled Data Scientist in 7.5 months

  • 7.5 months
  • 10 Students Per Batch

Get Placed as a Data Scientist in top companies

Course Overview

Get Certified as a Data Scientist Expert Through NLT Education. Get trained on aptitude and soft skills with Placement Plus – an add-on course designed to help you crack your interview and take you to your dream company.

  • 220+ Live Sessions across 3 Months
  • 20+ Industry Projects and Case Studies
  • Add-on Placement Support
  • Mentor Support
  • No Cost EMI Option
  • 24/7 Support
  • 1:1 interactions with industry Experts
  • Guaranteed Certification
  • Soft skill training
  • Career development program for both Freshers & Experienced

Benefits

  • Understand and apply data science principles to real-world problems.
  • Use various data science tools and technologies proficiently.
  • Develop, implement, and manage data models and solutions.
  • Deploy machine learning models and deep learning applications.
  • Deploy machine learning models and deep learning applications.
  • Manage and analyze large datasets using big data technologies.
  • Work with databases and understand database management systems.
Saturday 06:00 pM - 10:00 PM
Sunday 06:00 PM - 10:00 PM

Don't Know where to start? Get in touch With our career counseling Expert by Enquire now

Enroll now Get a call

Course Details:

Course Price:

INR 145000+GST

Instructor

Sherine Martina

Lesson Duration

28 Weeks

Lessons

220+ Learning Hours

Places for Students

10

Language:

English, Tamil

Certifications

Digital, Physical

Enroll now
Download Syllabus

Learning Path & Curriculum

Module 1

Introduction and Basics

Overview of Data Science Data Science Project Lifecycle Tools and Technologies in Data Science Python Basics Data Structures and Functions Libraries: NumPy, Pandas

Module 2

Data Handling and Visualization

PowerBI: Basics, Data Import, Visualization Techniques Tableau: Basics, Data Import, Creating Dashboards MySQL Basics Advanced SQL Queries Database Design and Management

Module 3

Machine Learning and GitHub

Introduction to Machine Learning Supervised Learning: Regression, Classification Unsupervised Learning: Clustering, Association Git Basics and Commands Collaborative Development with GitHub Branching, Merging, and Pull Requests

Module 4

Advanced Machine Learning and AWS

Model Evaluation and Selection Feature Engineering Hyperparameter Tuning AWS Basics Data Storage and Management in AWS Deploying Machine Learning Models on AWS

Module 5

Deep Learning and Big Data

Neural Networks Basics Building and Training Models with Keras and TensorFlow Convolutional and Recurrent Neural Networks Introduction to Big Data Hadoop Ecosystem Working with Apache Spark

Module 6

Natural Language Processing and Advanced Topics

Text Processing and Analysis Sentiment Analysis NLP with Python Libraries Introduction to NoSQL Working with MongoDB Advanced NoSQL Concepts

Module 7

Capstone Project and Industry Applications

Project Planning and Execution Data Collection and Cleaning Model Building and Evaluation Real-world Case Studies Best Practices in Data Science Preparing for Data Science Interviews

Module 8

Final Assessment and Graduation

Final Project Presentations Feedback and Evaluation Course Wrap-up and Graduation Ceremony

Tools & Technologies covered

Program Outcome

  • Understand and apply data science principles to real-world problems.
  • Use various data science tools and technologies proficiently.
  • Develop, implement, and manage data models and solutions.
  • Perform data visualization and communicate insights effectively.
  • Deploy machine learning models and deep learning applications.
  • Manage and analyze large datasets using big data technologies.
  • Work with databases and understand database management systems.

    By the end of the course, students will be equipped with the essential skills and knowledge to embark on a successful career in data Scientis, capable of handling complex data-driven challenges and contributing valuable insights to their organizations

Hiring Corporates

Career outcome

Program Features & Fees Structure

Course Duration & Learning Hours

Program Duration

Weekend - Sat-Sun - 7.5 Months

220+ Hours Live Interactive classes

Course Duration & Learning Hours

Program Duration

Weekend - Sat-Sun - 7.5 Months

220+ Hours Live Interactive classes

Program Fees

Standard Fee:

145000+GST

Scholarship up to 40%
Special Offer: Enrolled students will receive a free laptop

Program fees

 

Scholarship Upto 40%

Special Offer: Enrolled students will receive a free laptop

Career Support

Resume Building 
soft skill training with experts
1:1 interview 
Job assistance and mock interviews

Career Support

Resume Building 
soft skill training with experts
1:1 interview 
Job assistance and mock interviews

Program Highlights

Industry projects with 20+ Case studies
10x More employable with a good salary
3 Mock Interviews
10+ Live Projects
220+ Hours Live Interactive classes

Program Highlights

Industry projects with 20+ Case studies
10x More employable with a good salary
3 Mock Interviews
10+ Live Projects
220+ Hours Live Interactive classes

Data Science & Analytics Bootcamp certification

Register Now to get 40% Scholarship

INR 145000+GST 7.5 months

Industry projects with 10+ Case studies 20x More employable with a good salary 3 Mock Interviews 20+ Live Projects 220+ Hours Live Interactive classes Resume Building  soft skill training with experts 1:1 interview  Job assistance and mock interviews

Apply now

Course Completion Certificate

Data Scientist Certification

0
Industry Recognized Certification
0
Easily Sharable
0
NSDC & ISO Certification

Admission Process

The admission process for joining NLT Education courses is simple:

Application

Fill out the online application form on the NLT Education website.

Review of Application

Your application will be reviewed by the admissions team and our counselors will be connect you for further process

Enrollment

Successful candidates will receive an offer letter and can proceed with enrollment

Interview Process

Qualified candidates will be invited for an interview and documentation process for further Procedure in enrollement

Course Students
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"Alumni Testimonials:" How Our Upskilling Courses Transformed Careers

GUNALAN S Assistant Manager - Delivery & Productoin

NLT Education's data science course was an eye-opening journey that magnified my 8+ years of expertise in content and delivery at Byjus. Through hands-on projects and expert guidance, I honed my analytical skills and gained a deep understanding of advanced data science concepts.

MYTHILI S MODULE LEAD

Completing NLT Education's Full Stack Development course was instrumental in advancing my career as a Module Lead at LTIMINDTREE. The course equipped me with comprehensive skills in front-end and back-end technologies, enabling me to lead projects with confidence and efficiency.

Sowmya Assistant Manager - Delivery & Productoin

Thanks to NLT Education's career assistance, my resume became a powerful tool. Their expert resume building service meticulously highlighted my strengths, significantly boosting my job search. I'm grateful for their invaluable support, making my transition smoother.

Akash Student of IU Germany

Thanks to her guidance, my SOP was not only accepted by the university but also received positive feedback from the visa team. Ms. Jerin's professionalism, attention to detail, and dedication to excellence truly shine through in her work. I am incredibly grateful for her expertise and support throughout the process. I highly recommend Ms. Jerin to anyone seeking assistance with their SOP writing needs!

Gowtham Data Analyst

My journey through the Data Analyst course at NLT Education was transformative. The hands-on projects and expert guidance equipped him with practical skills and confidence. He now excels in his career, attributing much of his success to the course’s comprehensive curriculum and support."

Frequently Asked Questions

This course is designed for beginners with no prior coding experience who are interested in starting a career .

Depends on the course you are choosing

The classes are live and interactive, providing real-time engagement and immediate feedback from instructors.

A 90% attendance rate is mandatory to ensure consistent learning and progress throughout the course.

You must complete at least 70% of the assigned projects to gain hands-on experience and demonstrate your understanding of the material.

Assessments are conducted periodically to evaluate your understanding and progress. You must clear 100% of the assessments to get certified.

No prior coding knowledge is required. The course starts with the basics and gradually builds up to more advanced topics.

 

Yes, you will receive a certification from NLT Education upon meeting the attendance, project completion, and assessment clearance requirements.

 You will have access to live instructors, discussion forums, and additional resources to support your learning journey.

This course equips you with essential skills, making you eligible for various roles in the industry and enhancing your job prospects.

For Futher Enquiries Click here

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