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Data Science Course In The United States



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

Data Science course in the United States prepares individuals for data science work. We include hours of live training, explaining concepts, and providing a valid lifetime 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 the United States.

Anexas offers a Data Science course in the United States 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 the United States.

data science course in united states

Course Highlights and why Data Science training in United States with Anexas?

  • Best Data Science course in United States
  • 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 Singapore 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 Singapore?

We have weekend batches for the Data Science course in the United States. The weekend batches are preferred by working professionals and freshers. 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 the United States.

Data Science course in United States are really affordable for freshers and professionals. You can attend the data science course online from the convenience of your home.

Data Science Batch In United States Upcoming Batches Timings Course Fees in United States 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 seo@anexas.net for more information.

The Data Science course in the United States also offers missed classes and customized batches. If the regular batches are inconvenient, you can write an email to enquiry@anexas.net. We also offer discounts on group batches for the Data Science course in the United States. 

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 Data Science course in United States online comes with lifetime access to the Anexas dashboard. The Data Science course in United States requirements are very basic, to have a keen interest in data science. 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 the United States.

Syllabus for Data Science course in United States

The syllabus for Data science courses and certification in the United States 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 the United States 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-

  • 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

 The syllabus for the Data Science course in United States 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 United States Data Science course by Anexas. 

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?

amitabh saxena

Anexas Data Science course in United States 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 United States.

Trainer profile of Data Science classes in United States

  • 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 United States
  • 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 United States.

Data Science Certification in United States

The United States Data Science course by Anexas provides a lifetime valid certification. We are a globally recognized certification body. You can also do masters in data science Singapore for further education. 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 United States (currently online).

Features of our Data Science Course in United States

  • Anexas is the only training organization that provides a free consultation.
  • Only Anexas students get access to the CEO’s customized 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 United States offers a huge discount on group batches. The Data Science course in Singapore fees is better with a group and 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 Data Science course in Singapore to learn with your friends and colleagues from different geographies.

Career growth after completing Data Science course in United States

Anexas Data Science course in United States 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. After the certification course, you can also do a masters in data science United States. 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 Data Science course in United States.

 

Reach us for Data Science coaching in United States

Anexas Data Science coaching in United States is online. Our students are from Hougang, Tampines, Pasir Ris, Yishun, Choa Chu Kang, Toa Payoh, Bukit Batok, Queenstown, Serangoon, Clementi, Sembawang, Jurong, Tengah, Ang Mo Kio, Tampines, Bukit Panjang, Woodlands, Simei, Sengkang, Novena, etc. after the Data Science coaching in Singapore.

Contact Information: 

Website- https://anexas.net/ 

Contact Number- +918762780122

Email- enquiry@anexas.net

FAQS about Data Science course in United States

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.

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: 2023-09-23 17:20

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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