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Industry expert trainers in interactive sessions

Anexas is a training, consulting, and certification organization that offers the best Data Science course in Mumbai in live interactive sessions.

Anexas Data Science course in Mumbai is designed to prepare you for a career in the field of data science. To train the maximum number of participants, the course is divided into three levels; basic, intermediate, and advanced. This ensures that people with different experiences and knowledge benefit from the course. Each level of the data science course is 45 hours long with live interactive sessions, an Anexas dashboard with study material, and a lifetime valid certificate in data science by Anexas Europe Certification. Every batch is small with certified industry expert trainers teaching you on tools, skills, and concepts required in the data science industry. Individual attention, project guidance, and placement support are one of the many benefits of the Anexas Data Science course in Mumbai.

With the growing demand, Anexas established Datamitum to provide the best experience to individuals who are aspiring to take a career in data science

data science course in mumbai

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

  • Best Data Science training in Mumbai.
  • Lifetime access to Anexas Dashboard
  • All study materials and resources are made accessible ahead of time.
  • The certified trainers have a deep expertise of more than 30 years in teaching and in working for major industries.

  • Real-time live interactive sessions.
  • Doubt clarification in one-to-one interaction.
  • During training, case studies are conducted.

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

Anexas has batches on the weekend for data science. The weekend batches are the most convenient as working professionals, as well as students, prefer weekends to utilize their free hours. Each session is 2 hours long with industry-expert trainers. In the overall 45 hours of the course duration, you learn different topics and tools, with the help of lectures, interactive discussions, and assignments. There are industry-based projects to help with your portfolio. The batches are small, to enhance one-to-one interaction and doubt clearing.   The Data Science course in Mumbai also has online weekend batches and the schedule for which is given below.

Data Science Batch In Ahmedabad Upcoming Batches Timings Course Fees in Ahmedabad Enrol Now
Weekdays Trainings
Data Science Basic:
Flexible

Data Science Intermediate Course:
Flexible

Data Science Advanced Course:
Flexible

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 [email protected] for more information.

Any class you miss can be rearranged. If our weekend batches are not convenient for you, We can customize a batch just for you. Yes! At Anexas we care for each participant and their time. To rearrange a missed class or to arrange a custom batch, write an e-mail to [email protected] for Data Science coaching classes in Mumbai. Apart from this, we also provide group batches if you want to join a group.

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

When you enroll in Anexas’s Data Science Online Course, You unlock lifetime access to Anexas dashboard. The dashboard has all your course details and content. It includes recorded videos from sessions, eBooks, sample papers, assignments, and projects. Upon completion of Basic and Intermediate levels, Anexas provides 100% job assistance to every participant. The job assistance includes grooming sessions, preparing interview skills with industry-based Q&A, and one-on-one mentorship. 

Syllabus for Data Science course in Mumbai

The syllabus for Data science courses and certification in Mumbai covers important topics, tools, and techniques, practical implementation through assignments, and portfolio upgradation with industry-based projects. It combines academic and practical learning. The course prepares you to start your career immediately. The syllabus for a Data Science course in Mumbai is mentioned below.

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 updates its syllabus every year to meet industry requirements. The syllabus mentioned above is for the Data Science course in Mumbai is updated for the years 2022 and 2023 which is similar to other certification agencies.

Each topic mentioned above, is covered in Anexas’s Data Science course in Mumbai(online). The course content is available to be accessed on Anexas’s dashboard and doubts can be cleared during each session. The validity of certification and dashboard lasts for a lifetime. Anexas 100% job assistance in a Data Science course in Mumbai is an added advantage to provide you with the best opportunities.

For more information on our Data Science course, you can write to us at [email protected] 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?

amitabh saxena

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 Mumbai

    1. Serving as Data Scientist for 6 years.
    2. Industry experts working with top firms in different countries.
    3. Mentor in the universities with a Data Science curriculum.
    4. Updated with the changes and requirements in the industry of Data Science for Data Science course in Mumbai
    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, and SQL Coding.
    8. Passionate with teaching, interacting, and doubt clearing with the students of the Data Science course in Mumbai.

Data Science Certification in Mumbai

After completing Data Science certification in Mumbai by Anexas, you are certified by Anexas Europe certification, which is a globally recognized certification body. Anexas Data Science course makes you a master of the industry by training you with the most interactive sessions, guiding you with projects, and by supporting you for placement. Join Anexas’s Data Science certification in Mumbai(currently online) to advance your career.

Features of our Data Science Course in Mumbai

  • 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 Mumbai

Anexas aims to prepare you for taking a career immediately after completing a course with us. Therefore, the Data Science course in Mumbai  also results in an advanced career. Training you in all required skills, practicing hours for tools and techniques, and completing assignments in real-time, the course module ensures that you learn the concepts as well as their application during the course. To support your further with your career, Anexas provides 100% job assistance with separate sessions on grooming and communication, interview preparation, and resume building.

Reach us for Data Science coaching in Mumbai

Anexas provides Data Science coaching in Mumbai (online). We have students from Thaltej, SG Highway, Science City Road, Ambli, Bopal, Prahalad Nagar, Chandkheda, Bhadaj, Ellis Bridge, Makarba, Motera, Shela, New Maninagar, New Ranip, etc. 

Contact Information: 

Website- https://anexas.net/ 

Contact Number- +918762780122

Email- [email protected]

FAQS about Data Science course in Mumbai

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 [email protected] .

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 [email protected] to reschedule your session.

Data Science Course In Ahmedabad - Anexas Europe

Anexas Data Science certification course in Ahmedabad is an online course designed in three levels; basic, intermediate and advanced. The courses are divided into three levels so that every individual can take the course according to their knowledge and skills.

Course Provider: Organization

Course Provider Name: Anexas Europe

Course Provider URL: https://anexas.net

Editor's Rating:
5
Data Science Course In Ahmedabad - Anexas Europe

Anexas Data Science certification course in Ahmedabad is an online course designed in three levels; basic, intermediate and advanced. The courses are divided into three levels so that every individual can take the course according to their knowledge and skills.

Event Type: EducationEvent

Event Attendance Mode: OnlineEventAttendanceMode

Event Status: EventScheduled

Performer: Organization

Performer Name: Anexas Europe

Performer URL: https://anexas.net

Start Date: 2024-11-21 21:37

Ticket URL: https://anexas.net/data-science-course-in-ahmedabad/

Entry Price: 25000

Currency: INR

Availability: InStock

Availability Starts: Nov 5, 6, 7, 11, 12, 13, 14, 18, 19, 20, 21, 25, 26, 27, 28, Dec 2, 3, 4, 5, 9, 10, 11, 12, 16, 17, 18, 19, 22

Editor's Rating:
5
PMP Course in Abha | 2023 Updated - Anexas Europe

PMP course in Abha prepares professionals for PMP examination and certification. It prepares you to clear the exam by PMI and become a project manager.

Product Brand: Anexas Europe

Product Currency: $

Product Price: 400

Product In-Stock: InStock

Editor's Rating:
4.5

Pros

  • Truly a very enriching and engaging training on Green/Black belt. There’s nothing much to ask for, as the course content IS relatable & that practical case examples were discussed and more importantly customized to the needs! I am delighted to see how engaging Anexas speakers are! My constant good wishes to their mission of having everyone learn share and inspire to be a Master in Lean Six Sigma Methodology! Congratulations Anexas! My heart IS full of gratitude ! Surely treasured here and i will do keep in touch in translating these into practical action! A never ending journey to Quality!

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Weekend Training Dates:

July 27, Aug 3, 10, 17, 2024

Aug 24, 31, Sep 14, 21, 2024

Sep 28, Oct 5, 19, 26, 2024

Nov 23, 30, Dec 7, 14, 2024

Dec 21, Jan 4, 11, 18, 2025

Weekdays Training Dates:

Oct 7, 8, 9, 10, 14, 15, 16, 17, 21, 22, 23, 24, 2024

Weekend Training Dates:

Aug 31, Sep 14, 21, 28, Oct 5, 19, 26, 2024

Nov 9, 16, 23, 30, Dec 7, 2024

Weekdays Training Dates:

July 31, Aug 1, 5, 6, 7, 8, 12, 13, 14, 19, 20, 21, 22, 26, 27, 28, Sep 3, 4, 5, 9, 11, 12

Sep 25, 26, Oct 1, 3, 7, 8, 9, 10, 14, 15, 16, 17, 21, 22, 23, 24, 28, 29, 30, Nov 4, 5, 6, 7

Dec 2, 3, 4, 5, 9, 10, 11, 12, 16, 17, 18, 19, 20, 23, 2024 Jan 2, 3, 6, 7, 8, 9, 20, 21, 22, 2025

Weekend Training Dates:

July 19, 20, 27, 2024

July 14, 20, 27, 2024

Sep 14, 15, 21, 2024

Sep 14, 20, 21, 2024

Oct 6, 19, 20, 2024

Oct 18, 19, 25, 2024

Nov 10, 16, 17, 2024

Nov 15, 16, 22, 2024

Dec 8, 14, 15, 2024

Dec 13, 14, 20, 2024

Jan 5, 11, 12, 2025

Jan 11, 17, 2025

Weekdays Training Dates:

July 11, 15, 16, 18, 22, 23, 24, 25

July 11, 15, 16, 18, 19, 22, 23, 24, 25

Aug 12, 13, 14, 19, 20, 21, 22, 23, 26, 27

Aug 12, 13, 14, 19, 20, 21, 22, 26

Sep 13, 18, 19, 20, 24, 25, 26, 27

Sep 13, 17, 18, 19, 20, 23, 24, 25, 26, 27

Oct 15, 16, 17, 18, 21, 22, 23, 24

Oct 16, 17, 18, 21, 22, 23, 24, 25, 28

Nov 13, 14, 18, 19, 20, 21, 25, 26

Nov 15, 18, 19, 20, 21, 22, 25, 26, 27

Dec 10, 11, 12, 13, 16, 17, 18, 19

Dec 11, 12, 13, 16, 17, 18, 19, 20, 23

Jan 16, 17, 20, 21, 22, 23, 27, 28, 2025

Jan 17, 20, 21, 22, 23, 24, 27, 28, 29, 2025

Weekend Training Dates:

July 28, Aug 4, 11, 2024

Jul 5, 12, 13 2024 

Aug 25, Sep 1, 8 2024

Aug 23, 30 Sep 6, 2024

Sep 28, 29, Oct 5, 2024

Sep 28, Oct 4, 5 2024

Oct 26, 27, Nov 9, 2024

Oct 26, Nov 8, 9, 2024

Nov 30, Dec 1, 7, 2024

Nov 30, Dec 6, 7, 2024

Dec 21, 22, 2024 Jan 4, 2025

Dec 21, 27, 2024 Jan 4, 2025

Weekdays Training Dates:

July 29, 30, 31, Aug 1, 5, 6, 7, 8

July 29, 30, 31, Aug 1, 2, 5, 6, 7, 8, 9

Aug 28, 29, Sep 2, 3, 4, 5, 9, 10

Aug 28, 29, Sep 2, 3, 4, 5, 9, 10, 11, 12

Sep 30, Oct 1, 3, 7, 8, 9, 10, 14

Sep 30, Oct 1, 3, 4, 7, 8, 9, 10, 14, 15

Oct 28, 29, Nov 4, 5, 6, 7, 11, 12

Oct 29, Nov 4, 5, 6, 7, 8, 11, 12, 13, 14

Nov 28, 29, Dec 2, 3, 4, 5, 6, 9

Nov 28, 29, Dec 2, 3, 4, 5, 6, 9, 10

Dec 20, 23, 2024 Jan 2, 6, 7, 8, 9, 10, 2025

Dec 20, 23, 2024 Jan 2, 3, 6, 8, 9, 10, 16, 2025