No.1 Data Science & Analytics Training Course in Hyderabad, Layout with Placements

Top Data Science Training Institute in Hyderabad, Layout. We Provide Best Data Science Online & Classroom Training in Hyderabad that expands its exclusive training to students residing nearby Jayanagar, Jp nagar & Koramangala, Layout. It is a limited period offer, book your seat soon!.

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Senior Data Scientist

Trainer Profile of Data Science Training in Hyderabad

About Our Talented Data Science Certified Trainers Profile

• Our trainers possess over a decade of expertise as data scientists and educators, having collaborated with multinational giants like HCL, IBM, Cognizant, TCS, and Walmart.
• Renowned for their specialization in R and Python-based data analysis, they equip you with skills in Python, Programming Languages, Statistics, Deep Learning, Machine Intelligence, Matlab, Reinforcement Learning, Unix, Git, and SQL for Data Science proficiency.
• You'll receive hands-on experience with advanced Data Science concepts, guided by mock interviews to secure your dream job. Our trainers craft market-relevant resumes, while our placement team equips you with interview strategies and industry insights.
• Hands-on practice is integral; our mentors engage you in practical tasks and unexpected Q&A sessions, building your expertise. They've dealt with diverse organizational tasks, enriching your learning journey.
• Our foundation is your success, coordinating contextualized content and learning methods.
• Expect reliable project work encompassing both theory and practical data applications.
• Industry experts and subject specialists provide top-notch Data Science training, ensuring your mastery of operational applications. Your learning experience is enriched by their profound understanding of the subject matter.

Our Talented Data Science Instructor Experience

Training Benefits For Students/Freshers

• For recent graduates and freshers seeking Data Science opportunities, the best institute in Hyderabad awaits:
• Accelerate learning under excellent trainers for swift skill development.
• As a versatile Data Science Certification Center, we guide fresher’s towards the right certifications.
• Expand your knowledge with additional content and projects covering trending technologies.
• Stay attuned to real-time challenges with guidance from Data Science experts.
• Our courses enhance core skills, paving the way for salary growth.
• Cultivate skills and fortify your profile through our courses.
• Empower yourself with valuable capabilities for a successful career start.
• Embark on an affordable and flexible career development journey with us.

Training Benefits For Professionals

• Stay current with the latest advancements and methodologies in your Data Science skills through our courses.
• Enhance your resume with a Data Science Training certification; industry demands are substantial for qualified professionals.
• Elevate your expertise for better-paying roles – a compelling reason to pursue our courses.
• Opt for online classes to upskill without fully leaving your current job.
• Continued learning leads to career versatility and expanded opportunities.
• Our courses can foster fresh collaborations, coordination possibilities, and potential job prospects.

Python / R / SQL

Python: Environment Setup And Essentials,Mathematical Computing With Python (Numpy), Scientific Computing With Python (Scipy),Data Manipulation With Python (Pandas)

INTRODUCTION What is R?,Why R?,Installing R,R environment,How to get help in R,R console and Editor,Packages in R,IMPORTING AND EXPORTING IN R,Loading data from file(Text,Csv,Excel),Loading data from clipboard,Connecting MySQL in R,How to remove lines while importing,Saving R data format,Exporting in R(Excel,Text),LOOPS,DATA MANIPULATION,DATA CLEANING PROCESS:,VISUALIZATION IN R,ADVANCED CONCEPT

SQL DATABASE: Understanding Database as a service,SQL Database is not SQL Server,Advance Capabilities,Benefits of SQL database,Scaling SQL database,Backup Options,Performance Model,Security,SQL Reporting,SQL Data Sync,SQL Federation,Pricing

Data Science & Analytics Overview

DATA SCIENCE OVERVIEW Data Science, Data Scientists, Examples of Data Science, Python for Data Science

DATA ANALYTICS OVERVIEW Introduction to Data Visualization Processes in Data Science, Data Wrangling, Data Exploration, and Model Selection, Exploratory Data Analysis or EDA, Data Visualization, Plotting, Hypothesis Building and Testing

STATISTICAL ANALYSIS AND BUSINESS APPLICATIONS

Introduction to Statistics,Statistical and Non-Statistical Analysis,Some Common Terms Used in Statistics,Data Distribution: Central Tendency, Percentiles, Dispersion,Histogram,Bell Curve,Hypothesis Testing,Chi-Square Test,Correlation Matrix,Inferential Statistics

PROJECT : AWESOME DATA SCIENCE

An open source Data Science repository to learn and apply towards solving real world problems.

Data Visualizations

Introduction to Data Visualization, Python Libraries, Plots, Matplotlib Features: Line Properties Plot with (x, y),Controlling Line Patterns and Colors

• Set Axis, Labels, and Legend Properties,Alpha and Annotation
• Multiple Plots,Subplots,types of Plots and Seaborn.

Machine Learning

Basic of Probability and Statistics,Basic of Linear Algebra,Basic of Laplace’s Transformation

MACHINE LEARNING

Introduction, What is ML?, Types of ML,Machine learning examples,Well defined machine learning problem, Supervise Learning, Regression,Classification,Decision Tree Learning,Artificial Neural Network,Bayesian Learning,instance-Based Learning,Genetic Algorithms,Learning Sets of Rules,Principal Components Analysis,Support Vector Machines, Kernel,HMM (Forward-Backward, Veterbi, EM for Learning), Neural Network, Reinforcement Learning

PROJECT 1: Fare predictiom for uber- Uber wants to improve the accuracy of its fare prediction model. Help Uber by choosing the best data and AI technologies and building its next-generation model

Natural Language Processing NLP

Welcome to the Ultimate NLP Practitioner Training (associate),History of NLP and Definitions:The 5 Principals for Success,The Keys to an Achievable Outcome,Logical levelsSMART Goals,Pre-suppositions of NLP,The Prime Directives of the Unconscious mind,Rapport – The NLP practitoners secret persuasion weapon,Sensory acuity – in NLP – Neuro Linguistic Programming,Representational Systems,Eye Patterns,Submodalities,Linguistic Pre-suppositions,Hierarchy of ideas,NLP Metaphors,The Meta Model,Anchoring in NLP – Neuro-Linguistic ProgrammingStrategiesReframingParts Integration:The Fast Phobia Model5 Step Sales Process,NLP in Context,NLP Negotiation model,Articles on NLP Interventions,Bonus section

PROJECT : A Natural Language Processing (NLP), Machine Learning and Data Mining project, which will automate the screening process before hiring a professional or can be used in psychiatry to check effectivity of patient therapy.

Deep Learning

Overview of Tensor flow, Why Tensor flow?, Graphs and Sessions, Check out Tensor Board

Operations; Basic operations, Constants, variables, Control dependencies, Data pipeline

Fundamentals of deep learningWhat is deep learning?, What is Neural Network, The mathematical building blocks of neural networks, What is Neural networks, History Neural NetworkHebbian learning,Backpropagation,Hardware-based designs,Contests,Convolutional networks,Models,Components of an artificial neural network,Neural networks as functions,Learning,Learning paradigms,Learning algorithms,Optimization,Algorithm

Algorithm in code, Phase 1: propagation, Phase 2: weight update, Pseudocode, Extension

Adaptive learning rate Inertia,Modes of learning Variants,Group method of data handling

Convolutional neural networks,Long short-term memory,Deep reservoir computing,Deep belief networks,Large memory storage and retrieval neural networks,Stacked (de-noising) auto-encoders,Deep stacking networks,Tensor deep stacking networks,Spike-and-slab RBMs

Compound hierarchical-deep models,Deep predictive coding networks,Networks with separate memory structures,Multilayer kernel machine,Neural architecture search

Fundamentals of machine learning,Deep learning in practice,Deep learning for computer vision with OpenCv2 with Python,Deep learning for text and sequences,What is text and Sequences,What is Encoding and Decoding ext Analysis,Advanced deep-learning best practices,Generative deep learning, Deep learning in Application, Deep learning With OpenCV, Deep learning With Caffe, DeepLearning, Deep learning With Tensorflow

Deep learning With Theano,Deep learning With PyTorch

PROJECT : Project of several deep-learning algorithms using pure Python, then Keras, and scikit Deep neural networks have garnered tremendous excitement in recent years thanks to their superior learning capacity in the presence of abundant data resources. However, collecting an exhaustive dataset covering all possible scenarios is often slow, expensive, and even impractical. The goal of this project is to devise a new learning framework .

Get Industry Recognized Certifications & Jobs in Top MNC’s

Upon the successful completion of the data science training course, you’ll be awarded industry-recognized certification. Data science certifications have a huge value around the globe. With these certifications, you can have a great impact on your career. The following are various data science certifications:

• Certified Analytics Professional
• Certified Associate: Data Analyst
• Certified Professional Data Engineer
• Google Certified Professional Data Engineer
• Microsoft Certified Azure Data Scientist Associate
• Certified Advanced Analytics Professional
• Certified Big Data Professional
• Certified Data Scientist.

Our Top Hiring Partner for Placements

Learn Giant additionally gives placement help to every student/ professional who undergoes training here. Currently, some of our students have been already placed in top companies.

• We would help you boost the profile during placements to address any shortcomings
• We have great placement record of our students in various multinational corporations such IBM, Accenture, Hp, Samsung, CTS, Infosys, etc.
• You will definitely be granted your profile, which will raise and note recruiters in your portfolio-worthy capstone project and hackathon results
• Modernize your CV to draw recruiters' interest and give a major first impression in every interview you join
• We also carry out mock interviews to help you understand your role
• Our exposure to mock questions trains you for perhaps the hardest questions in data processing interviews.