Data Science Course in Bangalore



Internationally recognized certifications with lifetime validity



Learning available from anywhere



Trainers with more than 30 years of experience



The best training program at a reasonable cost



Individual attention, limited batch size



Industry expert trainers in interactive sessions

Anexas Data Science course in Bangalore is the most popular choice among professionals. Anexas Data Science course is designed to train individuals based on their knowledge and skills and thus it is divided into three levels of basic, intermediate and advanced courses. Anexas Data Science course in Bangalore is the best data science course with expert trainers, content rich study material and a history of successfully trained professionals.

Anexas offers 30 plus courses including a Data Science course in Bangalore. Anexas is a top provider of Lean Six Sigma, CPHQ, PMP, Power BI, Robotic Process Automation, Business Process Management,Corporate training and consultancy. Anexas is recognised globally with centres around the world with industry expert trainers.

Datamitum by Anexas is a Data Science training and consultancy organisation for individual participants and organisations for a Data Science course in Bangalore.

Data science course in bangalore

Course Highlights and why Data Science training in Bangalore with Anexas?

  • Best Data Science training in Bangalore.
  • Experienced training supervised case studies for a year.
  • All study materials and resources are made accessible ahead of time.
  • The trainers have a deep expertise of more than 30 years.

  • Real-time interactive sessions.
  • Clarification of doubts as quickly as practical.
  • During training, case studies are conducted.
  • Pay once and attend our course whenever it is convenient for you.

What are the schedules, dates, upcoming Batches, timings and coaching fees of our Data Science coaching classes in Bangalore?

Anexas weekend batches are the most picked schedule as it is convenient for working professionals for Data Science coaching classes in Bangalore. The sessions are online with small batch sizes to enable interaction and instant doubt clearing. Anexas delivers the finest, convenient and cost-effective Data Science coaching classes in Bangalore.

Data Science Batch In Bangalore Upcoming Batches Timings Course Fees in Bangalore Enrol Now
Weekdays Trainings
Data Science Basic:
Sep 17, 18, 23, 24, 25, 30, Oct 1, 2, 7, 8, 14, 15, 16, 21, 22, 27, 28, 29, 30, Nov 4

Data Science Intermediate Course:
Nov 5, 6, 11, 12, 13, 18, 19, 20, 25, 26, Dec 2, 3, 4, 9, 10, 16, 17, 18, 22, 23,

Data Science Advanced Course:
Dec 24, 29, 2022 Jan 6, 7, 8, 20, 21, 22, 27, 28, 29, Feb 3, 4, 5, 10, 11, 12, 17, 18,19

9PM to 11 PM IST
Data Science Basic Course: 25000 + tax

Data Science intermediate Course: 25000 + tax

Data Science Advanced Course: 25000 + tax

Corporate Training
Flexible
As per the company’s convenience.
Contact seo@anexas.net for more information.

Anexas regular batches are designed to meet the expectations of the majority but if it is not good for you, you don’t need to worry. Anexas provides custom batches according to your time. If the regular batch is not convenient for you, email us at enquiry@anexas.net for Data Science coaching classes in Bangalore. There are also personalised group packages for a group of three or more where cost-effective group batches are available.

Online training Classroom training
1. Learn with professionals from all over the world

2. Interactive sessions with instant doubt clarification

1. Learn with professionals in a limited batch.

2. Interactive sessions with instant doubt clarification

Anexas online live training sessions are a combination of best learning experience with quality content, updated syllabus and expert trainers. In a small batch with participants from around the world, Anexas Data Science Online Course is the excellent source to become a certified professional

Syllabus for Data Science course in Bangalore

Data science courses and certification in Bangalore has a curriculum which covers all the topics required to start a career. There are three levels; basic, intermediate and advanced which altogether cover the concepts, tools and practices of data science at the Data Science course in Bangalore.  The course syllabus for the sessions is as follows:

Data science- basic course

In this course, you will learn the basics of data science and different aspects of it. You will learn to prepare data for analysis, basic visualisation and modelling with exercises and real-time projects. The course content are:

  • Installation - Anaconda, Pycharm, Virtualenv
  • Introduction to python
  • Basic Syntax, comments, Variables
  • Data Types, Numbers, Casting, Strings, Booleans
  • Operators, Lists, Tuples, Sets, Dictionaries
  • If...Else, While Loops, For Loops
  • Functions, Lambda, Arrays
  • Arrays, Classes/Objects, Inheritance, Iterators
  • Scope, Modules, Dates, Math, JSON
  • PIP, Try...Except, User InputP, String Formatting
  • File Handling, Read Files, Write/Create Files, Delete Files

  • Ndarray, Data types, Array Attributes, Indexing and Slicing
  • Array manipulation, Binary operator, String Function
  • Arithmetic, Statistical, Matrix, linear algebra, sort, search, countings

  • Data manipulation, Viewing, selection, grouping, merging, joining, concatenation
  • Working with text data, visualization, CSV, XLSX, SQL data puling, operations

  • Statistics, Linear algebra, models, special functions, optimization
  • Probability & Stats Applications

  • Basic Probability, Random experiments, Conditional Probability, Independent Events,
  • Bayes theorem, Permutation, combination
  • Random variable , Discrete/Continous RV, PDF, PMF, CDF
  • Joint Probability Distribution, Conversion techniques, EV, varience, SD
  • Covariance, Correlation, Chebyshev Inequality, Law of Large number
  • Central limit Theorem, Percent & Quantiles, Moments
  • Skewness & Kurtosis, Gaussian, Binomial, Standard Normal, Distribution
  • Poisson, Multinomial, Hypergeometric, Uniform, Exponential Distribution

  • [Mean, median, mode ](Sample/population), Expected values, Variance, standard deviation
  • Sampling distribution, Frequency distribution, Estimation Theory
  • confidence interval, Maximum Likelihood Estimation
  • Hypothesis Testing - Chi-Square, Student's T, F Distribution, Z test
  • Hypothesis Testing - Type-I, Type- II, p Values, Relationship between NULL & Alternative
  • Least Square Methods - Numerical

  • Data Cleaning - Handling Missing Values(Data Imputation), Dealing with Noisy data(Binning Technique)
  • Advance Data cleaning - Will be referred while Regression, clustering topics
  • Data Transformation Techniques- Normalization (minmax, log transform, z-score transform etc.), Attribute Selection, Discretization,Concept Hierarchy Generation
  • Data Reduction: Data Cube Aggregation, Numerosity Reduction, Dimensionality Reduction

  • Data Mapping, Charts, Glyphs, Parallel Coordinates, Stacked Graphs
  • Bar, Pie, Line Charts, bubbles, geo maps. Gauge, whisker charts, Heatmaps, scatterplots, plottings images, videos, motion charts, performing EDA
  • Building Dashboard - Live implementation - PowerBI

  • Implementation of Numerical intuitions
  • Regression basics: Relationship between attributes using Covariance and Correlation
  • Relationship between multiple variables: Regression (Linear, Multivariate) in prediction.
  • Residual Analysis: Identifying significant features, feature reduction using AIC, multi-collinearity

  • Polynomial Regression
  • Regularization methods
  • Lasso, Ridge and Elastic nets
  • Categorical Variables in Regression

  • Logit function and interpretation
  • Types of error measures (ROCR)
  • Logistic Regression in classification

  • Distance measures - euclidean distance
  • Different clustering methods (Distance, Density, Hierarchical)
  • Iterative distance-based clustering;
  • Dealing with continuous, categorical values in K-Means
  • Constructing a hierarchical cluster
  • K-nearest neighbours, K-Medoids, k-Mode and density-based clustering
  • BIRCH, DBSCAN, Mean Shift, Spectral Clustering, Gaussian Mixture Model

  • The applications of Association Rule Mining: Market Basket, Recommendation Engines, etc.
  • A mathematical model for association analysis; Large item sets; Association Rules
  • Apriori: Constructs large item sets with mini sup by iterations; Analysis discovered association rules;
  • Application examples; Association analysis vs. classification
  • FP-trees
  • PageRank

Data science- Intermediate course

In this course, after the basic knowledge you will learn the next level of data science and therefore you learn SQL, NLP and different statistical NLP techniques. The course content are:

  • Naïve Bayes Classifier: Model Assumptions, Probability Estimation
  • Required data processing, M-estimates, Feature selection: Mutual information
  • Random Forest Algo + Implementation
  • Classification using Logistics, K nearest Neighbors
  • Decision Trees: ID4, C4.5, CART
  • Support Vector Machines: Linear Learning Machines and Kernel space, Making Kernels and working in feature space
  • SVM for classification and regression problems.

  • Feature Reduction/Dimensionality reduction
  • Principal components analysis (Eigenvalues, Eigenvectors, Orthogonality)
  • Validation Techniques (Cross-Validations)

  • Bagging & boosting and its impact on bias and variance
  • C5.0 boosting
  • Gradient Boosting Machines and XGBoost

  • Build Dataset from large database
  • SQL queries & Protocol Building
  • Creating Feature Store using SQL
  • in-Depth PostgreSQL

  • Introduction to NLP
  • Preprocessing, NLP Tokenization, stop words, normalization, stemming and lemmatization
  • Preprocessing in NLP Bag of words, TF-IDF as features
  • Language model probabilistic models, n-gram model and channel model
  • Hands-on NLTK
  • Word2vec
  • Golve
  • POS Tagger
  • NER
  • POS with NLTK
  • Gensim
  • TF-IDF with NLTK

  • Introduction to sequential models
  • Introduction to RNN
  • Intro to LSTM
  • LSTM backprop through time
  • Hands-on Keras LSTM
  • Sentiment Analysis
  • Sentence generation
  • Machine translation
  • Advanced LSTM structures
  • Keras- Machine Translation
  • Encoder decoder with attention
  • Encoder-Decoder - Auto Encoder
  • Understanding transformers
  • Attention Models Intuitions
  • Introduction to BERT
  • GPT
  • Chatbot -handson

Data science- Advance course

In this course, after the basic and intermediate knowledge you will learn the expert level with Neural Networks using TensorFlow and Keras, CNN and different parts of it in detail. The course content are:

  • Basic Mathematics - DL
  • Introduction to Perceptron & History of Neural networks
    • Activation functions
    • Sigmoid
    • Relu
    • Softmax
    • Leaky Relu
    • Tanh f. Exponential Linear Units (ELU) g. Swish"
  • Gradient Descent
  • Learning Rate and tuning
  • Optimization functions
  • Introduction to Tensorflow
  • Introduction to Keras, Theano, PyTorch - handson 
  • Backpropagation and chain rule
  • Fully connected layer
  • Cross entropy
  • Weight Initialization
  • Regularization
  • coding perceptron
  • Q&A

  • Working with Images- Introduction
  • Working with Images - Digitization, Sampling, and Quantization
  • Working with images - Filtering - OpenCV
  • Hands-on Python Demo: Working with images
  • Introduction to Convolutions
  • 2D convolutions for Images
  • Convolution - Backward - handson
  • Transposed Convolution and Fully Connected Layer as a Convolution - handson
  • Pooling: Max Pooling and Other pooling options - practical

  • CNN Architectures and LeNet Case Study
  • Case Study: AlexNet
  • Case Study: ZFNet and VGGNet
  • Case Study: GoogleNet
  • Case Study: ResNet
  • GPU vs CPU
  • Transfer Learning Principles and Practice
  • Hands-on Keras Demo: SVHN Transfer learning from MNIST dataset
  • Transfer learning Visualization (run package, occlusion experiment)
  • Hands-on demo -T-SNE
  • Hands-on CNN nets
  • Hands-On OCR, Face Recognition, Object Detection, Pose Estimation, 3D estimations

  • CNN's at Work - Semantic Segmentation
  • Semantic Segmentation process
  • U-Net Architecture for Semantic Segmentation
  • Hands-on demo - Semantic Segmentation using U-Net
  • Other variants of Convolutions
  • Inception and MobileNet models

  • CNN's at Work - Object Detection with region proposals
  • CNN's at Work - Object Detection with Yolo and SSD

  • Siamese Network as metric learning
  • How to train a Neural Network in Siamese way
  • Hands-on demo - Siamese Network

Anexas syllabus for Data Science course in Bangalore is updated for the year 2022 and 2023 according to the international standards of the data science industry, similar to other certification agencies and at par with the certification bodies. 

All the categories listed in the syllabus are covered in our Data Science course in Bangalore (online) with trainers taking live sessions in small interactive batches to maximise learning experience. After the Data Science course in Bangalore you are certified in Data Science and are completely ready to take off your career

For more information on our Data Science course, you can write to us at seo@anexas.net or call us at +971-503618638. 

You can also connect with us on Facebook:

https://www.facebook.com/denmarkanexas/

Subscribe to our YouTube channel:

https://www.youtube.com/channel/UCAk6lJsnPCsz7-rZTVx90uw

Follow us on Instagram:

https://www.instagram.com/anexas_europe/

Tag us on Twitter using #sixsigmawithanexas

Who is the trainer?

Anexas has a separate team for data science in a dedicated organisation Datamitum to fulfil the growing demand of data science courses while maintaining the high quality training and consultancy. 5 Data Scientists with 6 years of working experience in the industry are part of the team. Our lead trainer, Mr. Amitabh Saxena, also the founder and CEO of Anexas, teaches subjects of advanced statistical methods and data analytics for the last 32 years

Trainer profile of Data Science classes in Bangalore

    1. Serving as Data Scientists.
    2. Industry experts contributing to notable firms of different countries.
    3. Mentor in the universities with Data Science curriculum.
    4. Updated with the changes and requirements in the industry of Data Science for Data Science course in Bangalore.
    5. Experienced in Data Science, Machine Learning, Deep Learning & Application Development.
    6. Publishing research papers as per development in the field of Data Science.
    7. Well versed in R programing, Python coding, Hadoop platform, SQL Coding.
    8. Passionate with teaching, interacting and doubt clearing with the students of Data Science course in Bangalore.

Data Science Certification in Bangalore

Anexas Europe Certification is an internationally recognised body with affiliation with IASSC. Anexas is the best Data Science certification in Bangalore for providing certificates after  live interactive sessions with industry experts, added assistance for projects and real-time assignment completion. The training experience is a mix of academic studies and industry practices, making it the best course to elevate your career by applying your learning in your organisation.  Enroll in our Data Science certification in Bangalore (currently online) and learn the methodology of data science.

Features of our Data Science Course in Bangalore.

  • Anexas is the only training organisation that provides a free consultation.
  • Only Anexas students get access to the CEO’s customised study materials.
  • Anexas training provides access to the centre Alumni network to broaden your professional network.
  • Our passionate educators make you fall in love with statistics and other tools for Data Science.
  • Anexas offers internships and opportunities to work on worldwide initiatives.
  • Pay once and get our training from any location at any time.

Group discussions, Peer learning and Doubt clearing sessions

Anexas courses are not only for individuals or organisations but it is also beneficial for a group of people. Anexas offers great discounts for a group of three or more, if you join in a group. The discount increases with the size of the group. It is a great opportunity to learn in a comfortable atmosphere with known people, while availing discounted prices. Even if you are friends living in different countries or colleagues from different branches, you can learn together with Anexas group offers.  

Career growth after completing Data Science course in Bangalore

  • Data Science training has an added advantage of industry based projects which help you to practise tools, skills and concepts in real-life scenarios, preparing you to take a job in any industry you choose such as healthcare, telecommunications, financial services, security, academics etc.
  • Data Science certification by Anexas provides you an upper hand in the competition in areas of job opportunities, practice programming languages, skill building, better portfolios and resumes. A Data Science course in Bangalore is going to provide you with an excellent professional network, dynamic job opportunities and desired salary packages.

FAQS about Data Science course in Bangalore

What is the duration of Data science courses and certification coaching?

Anexas Data Science course is 45 hours of training with each session 2 hours long. The course contains online sessions, donut clearing, assignments, industry projects, Ebooks, recorded videos and real-time tasks.

Can Data science certification be cleared without coaching?

No, Data Science certification is provided at the end of the course after all the sessions are attended, real-time assignments are done and industry-based projects are completed.

What is the duration of Data science courses and certification classes near me?

Anexas online classes for Data Science certification in Bangalore with 45 hours of total duration of training. Every class is 2 hour long with custom batches available for every participant or a group of participants.

Will Data science courses and certification tutorials near me provide online support?

Yes. Anexas data science course in Bangalore provides online support. Apart from the sessions, Anexas help team is available online for all the queries. You can reach the help team by emailing at enquiry@anexas.net .

How long does it take to prepare for Data science certification?

After the course, Anexas conducts a test within 60 days as per the participants’ availability to provide certification.

Do your institute for DATA SCIENCE COURSES AND CERTIFICATION Coaching in Bangalore have weekend batches?

Yes. Anexas weekend batches are the most popular choice for Data Science courses and certification in bangalore. The batch size is small for interaction, donut clearing and individual attention. Though, batches, sessions and missed classes can be arranged as per the individual requirement.

Do your institute for DATA SCIENCE COURSES AND CERTIFICATION in Bangalore conduct exams and assessments?

Yes. Anexas conducts assessment tests after completion of Data Science courses. A project according to individual domain is given with multiple choice questions for the students to answer

Do you provide sample papers and study materials?

Anexas Data Science courses and certification comes with a lifetime access on Anexas dashboard. The dashboard includes free e-books, video recordings of sessions, courses, contests, worked out projects and assignments.

Will you make up for a class I miss?

If you miss a class, you can reschedule it with Anexas team. Write an email to enquiry@anexas.net to reschedule your session.

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Weekend Training Dates:

Sep 4, 10, 11

Sep 9, 10, 16

Oct 8, 9, 15

Oct 8, 14, 15

Nov 12, 13, 19

Nov 11, 12, 19

Dec 4, 10, 11

Dec 9, 10, 16

Weekdays Training Dates:

Sep 14, 15, 16, 19, 20, 21, 22, 23, 26, 27

Oct 12, 13, 14, 17, 18, 19, 20, 21, 27, 28

Nov 15, 16, 17, 18, 21, 22, 23, 24, 28, 29

Dec 14, 15, 16, 19, 20, 21, 22, 23, 26, 27

Soft Copy Certificate

Hard Copy Certificate

Weekend Training Dates:

Sep 17, Oct 1, 8, 15

Oct 22, 29, Nov 5, 12

Weekdays Training Dates:

Contact enquiry@anexas.net

Weekend Training Dates:

Sep 24, Oct 1, 8, 15, 22

Weekdays Training Dates:

Oct 17, 18, 19, 20, 27, 31, Nov 2, 3, 7, 8, 9, 10, 14, 15,16, 17

Weekend Training Dates:

Sep 24, 25, Oct 1

Sep 24, 30,  Oct 1

Oct 30, Nov 5, 6

Oct 29, Nov 4, 5

Nov 26, 27, Dec 3

Nov 26, Dec 2

Weekdays Training Dates:

Sep 28, 29, 30 Oct 3, 4, 6, 7, 10, 11

Oct 31, Nov 2, 3, 4, 7, 8, 9, 10, 11, 14

Nov 30, Dec 1, 2, 5, 6, 7, 8, 9, 12, 13

Soft Copy Certificate

Hard Copy Certificate