Best Data Science Course Online

Best Data Science Course Online | Data Science Training Online

Data scientist is one of the great acceptable professions to thrive this century. This best data science course online is digital and completely on-line Live Instructor-led data science training. Therefore, it comes as no surprise that the demand for statistics scientists has been surging in the process marketplace. However, deliver has been very limited. It is tough to collect the abilities necessary to be employed as a information scientist.

In this best data science course online each of these subjects builds at the previous ones. And you risk getting lost along the way if you don’t gather these abilities in the right order. For example, one might conflict in the utility of Machine Learning strategies earlier than information the underlying Mathematics. Or, it can be overwhelming to study regression analysis in Python earlier than knowing what a regression is. So, so as to create the maximum effective, time-efficient. And structured statistics technological know-how schooling available online. We created The best Data Science Course online where you could get the on line information data science route.

Advantages of learning best data science course online:

Stick with Essentials in information technology certification path:

Now if you’re knowledgeable records scientist, no one expects you to derive any AI algorithms from first principles. You moreover may additionally don’t were given to notably probe the (relatively) trivial history behind every algorithm, nor study SVD (Singular Value Decomposition) or Gaussian Elimination on a true matrix without a pc to assist you. There’s such lots cloth that a tutorial diploma covers that’s by no means used at the process!

Yes, you would really like to possess an intuitive concept about the algorithms. But until you’re entering into for ML research, there’s now not a whole lot use of understanding, say, Jacobians or Hessians thorough. Professional facts scientists upload very distinct domains even as as compared to academic researchers or educational counterparts. Learn what you would like on the work. If you are attempting to hide everything cited in school, you’ve already lost the race. Specialise in mastering bare essentials thoroughly. We have designed & come up with one of the best online course for data science.

Learning from Instructors:

Now from whom do you have to receive training? Fairly often the lecturers and teachers in colleges and universities belong to the previous category, and you are remarkably fortunate if you’ve were given a teacher who has that valuable component called industry revel in. The latter class are uncommon and tough to seek out, and you are lucky – even remarkably so – in case you’re reading below them. They’re going to be geared up to teach you with context to the work revel in real-life, which is normally exactly what you would like the foremost.

Working with the newest Technology Stacks:

Now, who might be better ready to land you employment – teachers who train what they studied ten years ago, or specialists who paintings with the most recent tools to be had within the industry? It’s undoubtedly real that the human beings with enterprise enjoy can allow you to decide what technology you have to research and master. Academics, as compared, could even be running with generation stacks over ten years old! Please attempt to persist with instructors who have work enjoy to deliver you one of the best data science course online.

Mentoring even After Getting Placed for the duration of a Company and dealing by yourself:

Trust me, no university professor are going to be able or may be available to help you after you get placed. In the enterprise when you consider that your domain names are going to be so distinctive. However, it’s a genuinely one-of-a-kind story with industry experts who become instructors. You’ll even attend them or touch them for steering even after placement, which is, really now not something maximum instructional professors are going to be geared up to do except they too have industry enjoy, which is extraordinarily rare.

Placement Assistance in the best data science course online:

People who have worked within the industry will recognize the significance of getting organization referrals within the placement process. It’s one thing to own a cold name with a business enterprise with no inner referrals. Having a person already established in the company you practice to are regularly the distinction among a successful and unsuccessful recruitment process. Every data science industry expert who deliver you data science training online could have contacts in many companies, which puts them all through a unique position to help you on the time of placement opportunities.

Who are the target audience of the best data science course online?

Python is a pre-considered necessary earlier than taking this Data Science Training Online.
You ought to take this route if you want to emerge as a Data Scientist or in case you want to find out about the field
Data Science on-line schooling in India if you want a fantastic career
The path is also best for beginners because it begins from the fundamentals and regularly builds up your competencies.

Enroll for the Online Live Instructor Led Training

Foundations of Data Science

1
Introduction to Data Science
2
High level view of Data Science, AI and ML
3
Difference between Data Science, ML and AI
4
Approaches to ML
5
Terms and terminologies of Data Science
6
End to End Data Science Pipeline, Implementation Cycle

Math for Data Science

ML and AI

1
Linear Algebra
2
Matrices, Matrix Operations
3
Eigen Values, Eigen Vectors
4
Scalar, Vector and Tensors
5
Prior and Posterior Probability
6
Conditional Probability
7
Calculus
8
Differentiation, Gradient and Cost Functions
9
Graph Theory

Statistics for Data Science

1
Types of Data
2
Measures of Central Tendency
3
Measures of Dispersion
4
Range, Quartiles, Inter Quartile Ranges
5
Measures of Shape
6
Tests for Association
7
Random Variables
8
Probability Distributions
9
Probability Mass Function
10
Cumulative Distribution Function
11
Statistical sampling and Inference
12
Hypothesis Testing
13
Null and Alternate Hypothesis
14
Margin for Errors
15
Type I and Type II errors
16
One Sided Hypothesis Test, Two-Sided Hypothesis Test
17
Tests of Inference: Chi-Square, T-test, Analysis of Variance
18
t-value and p-value
19
confidence Intervals

Python for Data Science

1
Numpy
2
Pandas
3
Data Visualization using Matplotlib
4
Data Visualization using Seaborn

Exploratory Data Analysis

1
Pipeline Ideas
2
Data Analytics Cycle ideas
3
Data Inputting
4
Data Preparation

Machine Learning

1
Introduction to Machine Learning
2
Applications of Machine Learning
3
supervised Machine Learning
4
Unsupervised Machine Learning
5
Reinforcement Learning
6
Latest advances in Machine Learning
7
Model Representation
8
Model Evaluation
9
Hyper Parameter tuning of Machine Learning Models
10
Evaluation of ML Models
11
Estimating and Prediction of Machine Learning Models
12
Deployment strategy of ML Models.

Supervised Machine Learning - Classification

1
Classification methods and respective evaluation
2
Ensemble Methods
3
Model Tuning
4
Respective Performance Measures

Supervised Machine Learning - Regression

1
Regression
2
Respective Performance Measures

Unsupervised Machine Learning

1
Clustering
2
Association Rule Mining

Natural Language Processing

1
Text Analytics
2
Stemming, Lemmatization and Stop word removal
3
POS tagging and Named Entity Recognition
4
Bigrams, Ngrams and colocations
5
Term Document Matrix
6
Count Vectorizer
7
Term Frequency and TF-IDF

Advanced Analytics

1
Time Series
2
Recommender Systems

Reinforcement Learning

1
Basic concepts of Reinforcement Learning
2
Action
3
Reward
4
Penalty Mechanism
5
Feedback Loop
6
Deep Q Learning

Artificial Intelligence

1
Neural Networks and terminologies
2
Non Linearity Problems, Illustration
3
Perception Learning
4
Feed Forward Network and Back propagation
5
Gradient Descent
6
Gradients
7
Partial derivatives
8
Linear algebra
9
Vector quantization
10
Tensor Flow
11
Keras

Deep Learning

1
Deep Learning
2
Deep Learning with Convolutional Neural Nets
3
Recurrent neural nets

Cloud Computing for Data Science

1
Introduction to Cloud Computing
2
Amazon Web Services Preliminaries – S3, EC2, RDS
3
Big data processing on AWS using Elastic Map Reduce (EMR)
4
Machine Learning using Amazon Sage Maker
5
Deep Learning on AWS Cloud
6
Natural Language processing using AWS Lex
7
Analytics services on AWS Cloud
8
Data Warehousing on AWS Cloud
9
Creating Data Pipelines on AWS Cloud

DevOps for Data Science

1
Introduction to DevOps for Data Science
2
Tasks in Data Science Development
3
Deploying Models in Production
4
Deploying Machine Learning Models as Services
5
Running Machine Learning Services in Containers
6
Scaling ML Services with Kubernetes
Online classes is for a duration of 90 mins to 180 mins. The start date and time will be provided in the course page.
The planned duration to complete this program is 3 months. However, to apply the complete learning, it is recommended to do a 6-months internship if you are new to these technologies or a thorough practice of the concepts and exercises / use cases that you learned during the training.
There are no specific prerequisites for enrollment to this Program. However, having basic computer and internet use knowledge and some software programming will help. If you don't have software background, it is expected that you would put additional effort to keep up the learning pace of the program. For experienced professionals working in the IT industry, this will provide a structured learning and experience to become a professional Data Science engineer. The program is designed to accommodate various professional and non-professional backgrounds.
Yes, Coursack will provide a certificate of completion for each of its programs or courses.
We will be sending the payment instructions after you enrolled with the course. Your enrollment will be confirmed once the payment is received. Currently we support Paytm, NEFT, IMPS through Net Banking for India region. For International customers we expect wire transfer, Paypal. We are adding new payment gateways for seamless transactions.
If you are not satisfied in the first 2 classes you can request the full refund. No partial refunds are allowed during the course period or at the end of the course.
Coursack believes in human taught and hands-on exercises based training's. All courses are live online instructor led and provides hands-on experience. Coursack does not offer self-paced e learning courses.
The instructor will send you the class material. You will have an opportunity to learn and review the material before coming to the next class. You will also have an opportunity to attend the review of the previous class and ask questions if any.

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Enrolled: 349 students
Duration: 72 hours
Lectures: 106
Level: Intermediate

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