Data Science Certification Training Course In Muscat
Trainers with more than 30 years of experience
Internationally recognized certifications with lifetime validity
Learning available from anywhere
The best training program at a reasonable cost
Individual attention, limited batch size
Industry expert trainers in interactive sessions
The Data Science course in Muscat aims to prepare more individuals for working in data science. We include hours of live training, explaining concepts, and providing a lifetime valid certification. We have different courses for maximum participation. You can choose any course based on your skills and experience. With our courses, we also offer 100% job assistance. The job assistance comes after attending the basic, intermediate, or beginner levels. The program offers placement support, resume-building, and industry-based projects in the Data Science course in Muscat.
Anexas offers a Data Science course in Muscat with 30+ courses that include Data Science, Lean Six Sigma, CPHQ, PMP, Power BI, AI, KPI, TQM, Business Process Management, etc. We have certified trainers who teach excellent training programs for the Data Science course in Muscat.
Course Highlights and why Data Science training in Muscat with Anexas?
- Best Data Science course in Muscat.
- 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.
- Pay once and attend our course whenever it is convenient for you.
You can join Anexas free Data Science Workshop in Muscat online. We can learn the fundamentals of Data Science and start your data science career.
What are the schedules, dates, upcoming Batches, timings, and coaching fees of our Data Science coaching classes in Muscat?
Anexas Data Science course in Muscat has weekend batches. Each session is 2 hours long and conducted in small batches. The batches include interactive training, doubt clearing, assignments, and projects for the Data Science course in Muscat.
| Data Science Batch In Muscat | Upcoming Batches | Timings | Course Fees in Muscat | Enrol Now |
|---|---|---|---|---|
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Weekdays Trainings
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Data Science Basic:
Flexible Data Science Intermediate Course: Data Science Advanced Course: |
9PM to 11 PM IST
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Data Science Basic Course: 25000 + tax
Data Science intermediate Course: 25000 + tax Data Science Advanced Course: 25000 + tax |
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Corporate Training
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Flexible
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As per the company’s convenience.
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Contact [email protected] for more information.
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The Data Science course in Muscat also offers missed classes and customized batches. If the regular batches are inconvenient, you can write an email to [email protected]. We also offer discounts on group batches for the Data Science course in Muscat.
| Online training | Classroom training |
|---|---|
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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 |
The Data Science Online Course shares lifetime access to the Anexas dashboard. The dashboard contains recorded videos, eBooks, sample papers, assignments, and projects. You can access your dashboard through our website or mobile app. Our 100% job assistance after basic and intermediate levels and Data Science for Beginners course for the Data Science course in Muscat.
Syllabus for Data Science course in Muscat
The syllabus for Data science certification course in Muscat includes industry-required topics, tools, and techniques. Throughout the sessions, different assignments and industry-based projects are included. The syllabus for a Data Science course in Muscat is mentioned below.
Data science- Basic course
In this course, you will learn the basics of data science and its different aspects. You will learn to prepare data for analysis, basic visualization, and modeling with exercises and real-time projects. The course content is-
Module 1 - Python
- 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
Module 2- Numpy
- Ndarray, Data types, Array Attributes, Indexing and Slicing
- Array manipulation, Binary operator, String Function
- Arithmetic, Statistical, Matrix, linear algebra, sort, search, countings
Module 3- Pandas
- Data manipulation, Viewing, selection, grouping, merging, joining, concatenation
- Working with text data, visualization, CSV, XLSX, SQL data puling, operations
Module 4- Scipy
- Statistics, Linear algebra, models, special functions, optimization
- Probability & Stats Applications
Module 5- Probability
- 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
Module 6- Statistics
- [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
Module 7- Data Pre-processing
- 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
Module 8- Data Visualization
- 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
Module 9- Linear Regression
- 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
Module 10- Multiple Linear Regression
- Polynomial Regression
- Regularization methods
- Lasso, Ridge and Elastic nets
- Categorical Variables in Regression
Module 11- Non-linear Regression
- Logit function and interpretation
- Types of error measures (ROCR)
- Logistic Regression in classification
Module 12- Clustering
- 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
Module13- Association Rule Mining
- 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:
Module 1- Classification
- 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.
Module 2- Feature Engineering
- Feature Reduction/Dimensionality reduction
- Principal components analysis (Eigenvalues, Eigenvectors, Orthogonality)
- Validation Techniques (Cross-Validations)
Module 3- Ensemble Methods
- Bagging & boosting and its impact on bias and variance
- C5.0 boosting
- Gradient Boosting Machines and XGBoost
Module 4- Database
- Build Dataset from large database
- SQL queries & Protocol Building
- Creating Feature Store using SQL
- in-Depth PostgreSQL
Module 5- Introduction to Statistical NLP Techniques
- 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
Module 6- NLP- NLU Delivery
- 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:
Module 1- Neural Networks Using Tensorflow and Keras
- 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
Module2- Working with images & CNN Building Blocks
- 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
Module 3- CNN Architectures and Transfer Learning
- 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
Module 4- CNN's at Work - Semantic Segmentation
- 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
Module 5- Object Detection
- CNN's at Work - Object Detection with region proposals
- CNN's at Work - Object Detection with Yolo and SSD
Module 6- CNN’s at work- Siamese Network for Metric Learning
- Siamese Network as metric learning
- How to train a Neural Network in Siamese way
- Hands-on demo - Siamese Network
The syllabus for the Data Science course in Muscat is updated for the year. We update our syllabus every year as per industry standards. Every topic in the syllabus is covered thoroughly in the online sessions by our certified trainers with doubt-clearing, assignments, and projects in the Muscat Data Science course by Anexas.
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?
Anexas Data Science course in Muscat has an excellent team of expert trainers. Our lead trainer, Amitabh Saxena, the founder and CEO of Anexas, is a Data Scientist, Lean Six Sigma Master Black Belt, PMP-certified, and CPHQ-certified professional. He teaches advanced statistical methods and data analytics. For the last 6 years, he has been working in the field of data analytics and Artificial Intelligence. He has also been mentoring AI-based applications for AI start-ups. You can interact with our certified trainers in the Data Science course in Muscat.
Trainer profile of Data Science classes in Muscat
- Serving as Data Scientist for 6 years.
- Industry experts working with top firms in different countries.
- Mentor in universities with a Data Science curriculum.
- Updated with the changes and requirements in the industry of Data Science for the Data Science course in Muscat.
- Experienced in Data Science, Machine Learning, Deep Learning & Application Development.
- Publishing research papers as per development in the field of Data Science.
- Well-versed in R programing, Python coding, the Hadoop platform, and SQL Coding.
- Passionate about teaching, interacting, and doubt-clearing with the students of the Data Science course in Muscat.
Data Science Certification in Muscat
Anexas Data Science course in Muscat comes with a lifetime valid certification. We are a globally recognized certification body. The certificate is awarded after the full training. You can join the 100% job assistance for better career opportunities after the Data Science certification in Muscat (currently online).
Features of our Data Science Course in Muscat
- 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’s 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 Data Science course in Muscat offers a huge discount on group batches. The offer is applicable if you join a group of 3 or more. The sessions are scheduled based on the availability of all group members. You can learn with your folks, engage in group discussions, and get certified. It is the best course to learn with your friends and colleagues from different geographies in the Data Science course in Muscat.
Career growth after completing Data Science course in Muscat
The Data Science course in Muscat offers group packages for a group of 3 or more. The sessions are scheduled based on the availability of all group members. You can learn with your folks, engage in group discussions, and start a career. It is the best course to learn with your friends and colleagues from different geographies in the Data Science course in Muscat.
Reach us for Data Science coaching in Muscat
Anexas Data Science coaching in Muscat is online. Our students are from Seeb, Muttrah, Bawshar, Al Amerat, Quriyat, Al-Seeb, Al Khoud, Al Qurum, Al Khuwair, Al Khuwair, Qurum, Ruwi, Muttrah, Al Ghubra, Al Azaiba, Al Amerat, Al Seeb, Mawaleh, Bausher, Al Mawalih South, Al Hail, etc. for the Data Science coaching in Muscat.
Contact Information:
Website- https://anexas.net/
Contact Number- +918762780122
Email- [email protected]
FAQS about Data Science course in Muscat
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.
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4.5
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