Data Analytics Project Topics

Data Analytics Project Topics

    Data Analytics Project Topics offer brighten arena for you to begin your voyage with a little step for praiseworthy achievements. Our spectacular brilliants are creating modern scientific platform for undergraduate students (BE, BTech), post-graduate students (ME, MTech, MCA and MPhil) and research philosophers (MS/PhD) to enrich their profile by our inventiveness. Every day, we are giving the best assistance from advanced topic selection to final viva voce for scholars who come from different departments including information technology, computer science, computer application, electrical and electronics engineering, electrical and communication engineering. Are you final year students? You can approach our success for successfully complete your final year projects with the first-grade.

Data Analytics Project Topics

    Data Analytics Project Topics is the best stadium to build your own dream for achieving milestone. Our universal certified brilliants are experts in this respective field. We give the excellent knowledge about big data technologies and trends for scholars including data stream mining, agile modeling for big data, dependency modeling & business process, data driven business, data virtualization, ETL for integrate data, meta-modeling, model-driven development approaches and methodologies and so on.

Process of Data Analytics:

  • Data Generation (Structured and Unstructured data)
  • Data Acquisition (Raw Data)
  • Data Exploration
  • Data Validation
  • Data Processing (Clean Data)
  • Data Analysis (Knowledge Transfer)

          -Data mining

          -Machine Leaning

          -Statistics Modeling

  • Decision Structure

          -In-time validation

          -Out-of-time validation

          -Model recalibration

      Machine Learning play a significant role in Data Analytics based Projects. Our experts have sound knowledge on Machine Learning applications and algorithms. This Machine Learning categorized into supervised, unsupervised learning and Reinforcement learning. Now, let us grasp Data Analytics Machine Learning algorithms,

  • PCA algorithm (Dimensionality Reduction)
  • Neural Networks (Multivariate Regression and Classification)
  • PLS (Multivariate regression method)
  • SVC (Multivariate classification and regression)
  • L1 regularization (LARS and LASSO)
  • Decision Trees Classifiers (Boosting and Bagging)
  • NBC (Multivariate classification and regression)

Machine Learning Tools/Toolboxes for Data Analytics:

R Programming

  • It is primary tool for Machine Learning
  • It is more opt for statistics
  • It is compatible with Hadoop
  • Algorithms written from libraries


  • It can work with Hadoop MapReduce
  • Versatile Programming with Real Object Oriented Language
  • A lot of well document libraries for machine learning


  • Best for Numerical Computation
  • Matlab work with Hadoop Spark

Other Tools for Machine Learning:

  • KXEN
  • SAP
  • Orange
  • Salford Systems
  • Spotfire Miner
  • TIBCo S+
  • IBM SPSS Statistics
  • IBM SPSS Modeler
  • Oracle Advanced Analytics
  • C45/C50/See5
  • Statistica
  • Mathematica

Model Strategies in Machine Learning:

  • Model Tuning
  • Ensemble Learning
  • Agglomeration
  • Partitioing
  • Bias Optimization

The Best Data Analytics Project Topics:

  • Mobile Laser Scanning Based Three Dimensional Boundary Extraction Through Graph Cuts and Super Voxels
  • Filling Sensing Holes Mechanism in Hybrid Sparse WSN (Wireless Sensor Networks) for Continuous Objects Boundary Detection
  • Optimize Many Objective and Multi Objective Using Distributed Parallel Particle Swarm Optimization
  • Biometric Template Security Using Privacy Preserving Variable Length Data Comparison with Application
  • Intelligent Traffic Signaling Using Data Driven Mechanism to predict Trajectory Length
  • Time Series Anomaly Detection in Cloud Computing Environment for Trustworthy and Reliable Service
  • Incompletely Anticipated VANET (Vehicular Ad Hoc Networks) Using Trustworthiness Evaluation Based routing Protocol
  • LSTM Network on Large Scale Data Processing Paradigm to Predict Engine Condition
  • Design Accelerated Distributed Optimization for Big Sensory Data Reconstruction
  • Share Size Optimization for Big Data in Robust and Efficient Secret Sharing Mechanism
  • Game Theoretical Energy Management for Big Data Based Renewable Power Forecasting with Energy Internet
  • Influential Nodes Identification in Weighted Formal Concept Analysis Based Complex Networks
  • Random Matrix theory Framework in a Non-Gaussian Platform for Power System Data Mining
  • Big Data Analysis Using Cluster Based Data Fusion Mechanism in Wireless Multi Sensor System
  • Mountaineering Events Using Provable Secure Private Data Delegation Approach in Emergency System