Data Science Certification Training Course In Bahrain
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 Bahrain comes with an ambition 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 Bahrain.
Anexas offers a Data Science course in Bahrain 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 Bahrain.
Course Highlights and why Data Science training in Bahrain with Anexas?
- Best Data Science course in Bahrain.
- 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 Bahrain 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 Bahrain?
We have weekend batches for the Data Science course in Bahrain. The weekend batches are preferred by working professionals and freshers. Each session is 2 hours long and conducted in small batches. The data science course fees in Dubai and Bahrain is affordable. The batches include interactive training, doubt clearing, assignments, and projects for the Data Science certification course in Bahrain.
The Data Science course in Bahrain 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 Bahrain.
The best Data Science Certification Course Online by Anexas comes with 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 is the perfect opportunity to get better career prospects. Join us online for the Data Science course in Bahrain.
Syllabus for Data Science course in Bahrain
The syllabus for Data science certification course in Bahrain 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 Bahrain 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 Bahrain 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 Bahrain 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 Bahrain 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 Bahrain.
Trainer profile of Data Science classes in Bahrain
- 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 best Data Science Certification Course Online
- 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 Bahrain
Data Science Certification in Bahrain
nexas Data Science course in Bahrain provides 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 Bahrain (currently online).
Features of our Data Science Course in Bahrain
- 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 center’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 Bahrain 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 Bahrain.
Career growth after completing Data Science course in Bahrain
Anexas Data Science course in Bahrain is focused to prepare people for a successful career. Data Science professionals see a growing demand. Major industries like healthcare, IT, e-commerce, transportation, military, etc pay high salaries to data science departments. We provide over 25 projects during the course and 100% job assistance programs after the basic and intermediate levels. We offer placement support with quality training in the best Data Science certification course Online.
Reach us for Data Science coaching in Bahrain
Anexas Data Science coaching in Bahrain is conducted online, attracting students from various cities such as Manama, Riffa, Hamad Town, Isa Town, Al Hidd, Muharraq, Budaiya, Jidhafs, Al Qadam, Northern City, A’ali, Dar Kulaib, Al Hajar, Ma’ameer, Al Qalah, Malkiya, and more
Contact Information:
Website- https://anexas.net/
Contact Number- +918762780122
Email- [email protected]
FAQS about Data Science course in Bahrain
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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