Data Science With
Full Stack Development

Become JOB Ready! Kickstart your career with India’s Best Program from SP JAIN in collaboration with The Learners Camp

TRANSFORM YOUR CAREER

500+
Learners

11 Months

12/15 hrs. per week

EMI Options

Starting at ₹ 4875 per month

Online
Format

Program Overview

SP Jain’s Data Science with Full Stack Development (DS-FSD) is taught across 11 months in a blended learning format that comprises online classes delivered by the SP Jain faculty panel and senior professionals from the field of Management and Technology. This ensures that the program culminates in academic input infused with SP Jain’s faculty excellence and the industry’s business and technology relevance, thereby providing the participants with a remarkable learning experience. The course is designed meticulously for working professionals, students & corporates focusing mainly on real-life case studies and faculty-prepared caselets. The course curriculum includes technical and business implementation of different Data Science and Full stack technology which makes this program as one of the unique and high in demand skill development programs across the globe.

Key Highlights/Features

Dual Certification

Resume Building

Global Network

Alumni Status

Guest Lectures

LinkedIn Profile Building

Placement Assistance

Expert Mentorship

Who Is This Programme For?

Minimum Eligibility

Top Skills You Will Learn

Programming Languages
and
Tools Covered

Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos, case studies, projects, assignments and live lectures.

  • Code Management (Git) walk through to the IDE
  • Basic of Javascript, CSS and Html
  • JavaScript in Depth / Advance Javascript
  • ReactJS (React with Redux and Hooks)

  • NodeJS (Basics and Advance)

  • DataBase (SQL)
  • DataBased (NoSql DB)

  • AWS Overview
  • AWS Services
  • AWS Serverless Architecture

  • Introduction to Microservices
  • Creating a Micro services bases application

  • Histograms, Bar plots, boxplot
  • Statistical Distribution
  • Normal Distribution
  • Population Parameters
  • Mean, Variance, Standard Deviation
  • Statistical Model
  • Sampling a Distribution
  • Hypothesis Testing
  • Z-score, f-scores
  • P-values
  • P-hacking
  • Statistical power
  • Power Analysis
  • Covariance and correlation
  • R-squared
  • Central limit theorem
  • Standard error
  • Technical and biological replicates
  • Sample Size and effective size
  • Logs, confidence interval
  • Threshold
  • Binomial Distribution
  • Quantile plots and quantile Normalization
  • Probability vs likelihood
  • Odds and logs
  • Expected values

  • Basics of Python.
  • Working with Pandas
  • Working with Numpy
  • Working with Data Visualization
  • Algorithms

  • Descriptive Statistics
  • Inferential Statistics
  • Probability
  • Hypothesis Testing

  • Basics of tableau
  • Advanced Tableau
  • Dashboard making
  • Project

  • Feature selection
  • Feature Engineering
  • Dimension reduction.
  • Data Preprocessing methods

  • What is Machine Learning?
  • Why is it so eminent?
  • Linear regression
  • Gradient descent
  • Features Overfitting and complexity
  • Training, validation, test data,
  • Classification problems
  • Decision boundaries
  • Nearest-neighbor methods
  • Probability and classification,
  • Bayes optimal decisions
  • Naive Bayes
  • Gaussian class-conditional distribution
  • Linear classifiersBayes' Rule
  • Naive Bayes Model
  • Logistic regression,
  • Neural Networks
  • Ensemble methods: Bagging, random forests, boosting
  • Unsupervised learning: clustering, k-means, hierarchical agglomeration
  • PCA.Week 12Text representations; naive Bayes and multinomial models;
  • clustering and latent space models
  • VC-dimension,
  • Structural risk minimization
  • Margin methods
  • Support vector machines(SVM
  • Time series

  • Introduction to deep learning
  • NLP
  • Deep Neural Networks
  • Shallow neural networks

Our Learners Work at

Top Companies around the Globe have recruited from  SP Jain and The Learners Camp.

Programme Fee

INR 1,80,000(excl. taxes)

EMI Options, Starting at ₹ 4875 

Data Science with
Full Stack Development

Complete all the topics, assignments, projects and case studies successfully to obtain this certificate from
SP JAIN SCHOOL  of GLOBAL MANAGEMENT

Apply For the Programme
&
Transform Your Career Now!

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