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Data Science Online Training Course Iceland | Nearlearn

Data Science Online Training Iceland Live Classes

  (140 Reviews)
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THE SMARTEST WAY TO Learn Data Science Online Training in Iceland
Grow your career as Data Scientist
Become a Data Scientist in defined period with in-depth knowledge and skills by joining our Data Science course in Iceland. Our courses are compiled to develop your skills as a professional data scientist.

Data Science Online Training in Iceland
$480
$450

(0% Interest on EMI)

Data Science is a mechanism with which amazing technologies like advanced computing, data acquisition, data analysis, statistics, data engineering, machine learning, and data visualization is compiled together for the most accurate predictive results. Today’s IT sector offers huge opportunities for IT professionals with excellent skills and certifications. NearLearn offers Data Science Training Course Certification in Iceland which is accredited all across the world. We are one of the most renowned Data Science Training Institute in Iceland with the most experienced professionals in the relevant industry to deliver a detailed session throughout your training. Each of our theoretical sessions are followed with the practical session to provide a real time project assessment knowledge to our aspirants making you well equipped with every possible scenario of data science of professional world. We ensure to educate you with the most comprehensive details of data science assisting you to grow your career as a data scientist. We are renowned as Best Data Science Training in Iceland because:

• We have top professionals for session delivery
• Our Data science syllabus is compiled by the experts with a vast experience in relevant industry
• We offer real-time project assessment to provide a detailed knowledge of data science
• We offer different modes of training to make your education easier and comfortable for you
• Our certification is accredited all across the world opening a number of job opportunities for certified professionals

Data science is one of the most opted technologies by most of the business sector offering myriad number of job opportunities for the skilled professionals. We understand that it is a competitive world where highly skilled professionals are only open to the opportunities. Our Data Science Training in Iceland ensures to educate you with every basic detail of course including the most basic elements and also the latest update of this sector. We are renowned for providing best Data Science Course Training Iceland for below listed reasons:

• Top professionals of industry to deliver sessions
• Each session delivered by our experts are recorded for future access
• Well-crafted study material
• Accredited certification
• Flexibility to choose mode of training
• Free demo classes
• And more…

Data science is one of those courses which require few prerequisites and hence this sector is open for specified professionals. Few of those specifications are:

• Well-equipped with mathematical skills
• Analytical skills
• Master hand on data ware housing and business intelligence
• Knowledge of reporting tools
• Knowledge of software development
• Logical and analytical skills

COURSES CURRICULUM

Lecture1.1 Key Elements of Machine Learning & Data Science & differences between them

Lecture1.2 Data Warehousing

Lecture1.3 Business Intelligence

Lecture1.4 Data Visualization

Lecture1.5 Data Mining

Lecture1.6 Machine Learning

Lecture1.7 Artificial Intelligence

Lecture1.8 Cloud Computing

Lecture1.9 Big Data

Lecture2.1 What is Machine Learning (ML)?

Lecture2.2 How machines learn

Lecture2.3 Basics of Classification, Regression and Clustering algorithms

Lecture2.4 Creating your first Prediction Model

Lecture2.5 Training & Model Evaluation

Lecture2.6 Choosing Machine Learning Algorithm

Lecture3.1 Operators, Operands and Expressions

Lecture3.2 Python Data Types

Lecture3.3 Conditional statements in Python

Lecture3.4 Loops in Python

Lecture3.5 Lists and dictionaries and Tuples

Lecture3.6 Programming practice in Python

Lecture3.7 Iterators & Generators

Lecture3.8 File Handling in Python

Lecture3.9 Modules and Libraries

Lecture3.10 Classes and Objects

Lecture3.11 String Formatting in Python

Lecture3.12 Decorators, Context Managers, Regular Expressions

Lecture3.13 List and Dictionary Comprehensions

Lecture3.14 Lambda and Argument Passing

Lecture3.15 Multiple Inheritance

Lecture4.1 Linear Algebra (Vectors, Matrix, Eigen Values)

Lecture4.2 Probability and Statistics

Lecture4.3 Hypothesis testing

Lecture4.4 Optimization

Lecture5.1 Introduction to Numpy

Lecture5.2 Arrays, Matrices,

Lecture5.3 Various operations on arrays and matrices

Lecture5.4 Introduction to Pandas

Lecture5.5 Reading csv and matlab files

Lecture5.6 Data frame object manipulation in python

Lecture5.7 Various operations on data frame

Lecture5.8 Visualization using Matplotlib

Lecture5.9 Scatter plots, line plots etc on a given data

Lecture5.10 Advance visualization using Seaborn

Lecture5.11 Histograms, heatmaps, box plots etc using seaborn

Lecture6.1 Basic Functionalities of a data object

Lecture6.2 Merging of Data objects

Lecture6.3 Concatenation of data objects

Lecture6.4 Types of Joins on data objects

Lecture6.5 Exploring a Dataset

Lecture6.6 Analysing a dataset

Lecture6.7 Pandas Function- Ndim(), axes(), values(), head(), tail(), sum(), std(), iteritems(), iterrows(), itertuples()

Lecture6.8 GroupBy operations

Lecture6.9 Aggregation

Lecture6.10 Concatenation

Lecture6.11 Merging

Lecture6.12 Joining

Lecture6.13 Data Collection &Preparation

Lecture6.14 Data Mugging

Lecture6.15 Outlier Analysis

Lecture6.16 Missing value treatment

Lecture6.17 Feature Engineering

Lecture6.18 Data Transformation

Lecture6.19 Normalization vs Standardization

Lecture6.20 Creating Dummies

Lecture6.21 Dimensionality Reduction

Lecture6.22 Principal ComponentAnalysis

Lecture7.1 Confidence Interval

Lecture7.2 Student’s t distribution

Lecture7.3 Binomial Distribution

Lecture7.4 A/B Testing

Lecture7.5 Hypothesis Testing

Lecture7.6 t-Tests

Lecture7.7 ANOVA

Lecture7.8 Chi-square test

Lecture7.9 KNN

Lecture7.10 PCA

Lecture7.11 Categorical Variables

Lecture7.12 R Square

Lecture8.1 Linear & Logistic and Regression Techniques

Lecture8.2 Problem of Collinearity

Lecture8.3 WOE and IV

Lecture8.4 Residual Analysis

Lecture8.5 Heteroscedasticity

Lecture8.6 Homoscedasticity

Lecture9.1 Supervised Machine Learning algorithms

Lecture9.2 Linear Regression

Lecture9.3 Multi Feature

Lecture9.4 Logistic Regression

Lecture9.5 2 Class and Multi class

Lecture9.6 Decision/ Classification

Lecture9.7 Trees

Lecture9.8 Ensemble

Lecture9.9 Models

Lecture9.10 Bagging

Lecture9.11 Boosting

Lecture9.12 Random Forest

Lecture9.13 K-Nearest Neighbours (KNN)

Lecture9.14 Naive Bayes

Lecture9.15 Introduction to Neural Network (DeepLearning)

Lecture9.16 Feed Forward Neural Network

Lecture9.17 Forward Propagation

Lecture9.18 Backward Propagation

Lecture9.19 Support Vector Machine

Lecture9.20 Unsupervised Machine Learning algorithms

Lecture9.21 Clustering with K-means Clustering

Lecture9.22 Bias-Variance Tradeof

Lecture9.23 Regularization

Lecture9.24 Parameter tuning & grid search optimization

5000+ Handwritten Digit Recognition Problem

4000+ email spam detection problem

Image compression Problem

Flower species classification problem

Titanic Survivor classification problem from kaggle

Fifa ranking dataset from kaggle

Profit Prediction Problem

Business Case of whether a chip will be accepted or not

Business case of clustering from dataset

Wine classification dataset and problem from Kaggle

Variety of Problems from Kaggle Competition Data Sets

Reviews

studant

Shubham

  (2 Review)

I have enrolled for NearLearn Machine Learning with Python Course Training. The Session was very Nice. The trainer is knowledgeable and his skills of explaining the concepts are awesome.

studant

Sneha Deshpande

  (2 Review)

I am satisfied with the Machine Learning workshop coducted by NearLearn. The instructor explained course objectives clearly. Made class enjoyable as well as educational.

studant

Rudranee

  (2 Review)

Machine Learning Training session was good.I am satisfied about this course.The training experience will be useful in my work. Course explanation was very clear and understandable.

studant

Ketan

  (2 Review)

The session was very enjoyable as well as educational. This training experience will be very useful in my work. I would really recommend this instructor. Thanks

FAQs

Data science is one of the most booming technologies among the recent advancements. It is widely used in various business sectors for prediction future market trends and makes potential decisions and hence there are a number of vacancies of data scientist in every business sector with a higher pay scale. To get an ever growing career Data Science Training Certification in Iceland can assist you to grow your skills and become a professional.

NearLearn is one of the finest institutes for Data Science Course in Iceland. We are renowned for developing excellent skills of data science in the aspirants with theoretical and practical sessions. Our sessions are delivered by the top professionals of the industry and also we keep an eye on growing trends to educate aspirants with the latest mechanisms.

To facilitate aspirants of various parts of the country to join our best data science course in Iceland, we offer online classes for most of the theoretical sessions and few of those sessions that requires a professional guidance and assistance to perform are delivered in the classroom by our top professionals.

We have top professionals of the industry with vast working experience to educate you with every aspect of data science. Our experts are well-equipped with various faced of this industry growth and they are chosen after a rigorous selection procedure. We select only those professional who clarify our each selection procedure with excellent remarks.

Data science is a perfect compilation of various technologies such as data assessment, visualization, mathematics, business analytics, dataware analysis, reporting tools, and software development. If you are having a basic knowledge of above mentioned technologies then it makes your data science training in Iceland easier for you to understand.

Data science course certification in Iceland is worldwide recognized and has lifetime validity. Almost business sector require a prediction to develop their future business strategies based on analysis, market trends, and reports. Hence, almost sectors are open for data scientist with highest number of job opportunities and pay scale.

We are here to assist growing talents to get skilled in certain business sector and get excellent job opportunities. Anytime during your professional tenure if you require any assistance of our professional you are free to contact them anytime.

Ultimate intention of getting skilled with data science technology is to secure excellent job. Post certification we assist you to build an impressive resume and get ready for the interview question with greater confidence.

Our online training sessions are delivered live and re also recorded at the same time so that if anyone misses their session or wishes to revise the session once more then they can access our recorded sessions.

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