Why Data Science with Us?

InfoSecTrain is a leading certification and upskilling training provider with alumni across the globe. Our trainers are high-experienced industry veterans with years of experience in the different domains and roles in Data Science. Our state-of-the-art online training materials along with access to downloadable study resources and access to pre-recorded training sessions are a boost to your Data Science Learning journey.

Will I get a certificate on successful completion of this course?

All students enrolling in this course are entitled to a certificate of completion that is verifiable on our website and can be displayed on your social profiles.

What are my career prospects after completing this course?

The objective of this data science with Python & R training bootcamp is to prepare you for your dream data science career by covering all the fundamental basics of Data Science like Python & R programming, their development environments, Probability and Data Structures for Data Science, Machine Learning, Data Visualization & Interpretation, Deep Learning, etc. Post the course competition, you will be able to apply for entry level positions in Data Science while working on more advanced specializations and tools that will further enhance your prospects.

What is special about this course?

Our data science with Python & R certification course covers the two significant languages necessary for a career in Data Science, Python and R programming languages. Most courses available in the industry today cover one of them leaving very little room for choice for the candidates to choose their own career paths. We take special note in covering all the basic fundamentals and programming concepts

How will I attend the classes and are they conducted live?

You can easily attend the classes of our data science online course from the comfort of your home or pleasure by having a stable internet connection and a working laptop. Our classes are completely delivered online while bifurcated to hour or more long sessions in LIVE Instructor-led teaching mode. Here you will get to learn and interact with your mentors/ instructors live from a browser based experience and meeting tools. Along with this, you will get secret ingredients that can act as catalysts to proceed in your career.

Data Science with Python & R Training & Certification

Data Science with Python & R Online Training

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Data Science is considered as one of the hottest jobs that one can have today. Along with elite packages that get eye-balls rolling, it also is one of the most exciting and diverse IT professions in the world. Our All-in-one Data Science Master bootcamp or Data Science with Python & R training course is designed to create a 360 degree impact on your prospects of succeeding as a Data Scientist, Data analyst or Data engineer. Exploring fundamental and advanced Data Science topics like Data Visualization, Deep Learning & Data Mining while exploring programming languages like Python and R and mathematical concepts like Statistics and probability in this exclusive and high-quality data science online course. Explore Data Structures and Algorithms for Machine Learning while picking up fundamental principles and concepts of Artificial Intelligence.

Data Science Course Description

Overview

Data Science is one of the most in-demand domains in the IT industry today. As processes and business get more data-driven, this demand is only going to go higher. Our course is created as an all-in-one resource that can catapult your career to the next level. Explore all the fundamental basics of Data Science while also making sure that you have enough exposure to advanced topics in this data science with Python and R training program.

The course / bootcamp covers crucial topics like making use of Anaconda, Spyder & R-studio for Python, & R, basics of Python & R, Population and Sample, Moments, Skewness & Kurtosis, Correlation analysis, probability, machine learning, Data visualization and interpretation, etc. It can be considered as one of the most in-depth fundamental Data Science online certification programs available that is highly career oriented.

According to a report by the U.S. Bureau of Labor Statistics, Data Science jobs are going to increase by about 28% through 2026. The strong skill sets imparted via this program will help you to take advantage of unique opportunities with excellent pay-grades while solving complex business problems via data-driven decisions. Confidently use top tools and practices to mine, visualize and interpret Data with the help of this Data Science with Python & R course.

Why Data Science with InfoSecTrain?

Our Data Science Master Bootcamp with Python & R is a comprehensive program taught by Industry-experts which covers the fundamentals basics as well as top programming languages in Data Science & Machine Learning.

In this data science online course, You will learn the following:

Building basics on Python and R programming language
Installing, Configuring & Using Anaconda & R Studio
Learn about Population & Data Sampling
Explore Probability for Data Science
Get an Introduction to Machine Learning
Learn about Data Visualization with Interpretation
Explore Deep Learning & neural Networks

And much more!

Join the Data Revolution & craft a winning professional career with this A to Z Data Science program from InfoSecTrain.

Top Data Science tools

Target Audience

Anyone who willing to learn Machine Learning from Scratch to Professional Level
Students and Working Professional

Pre-requisites

Basic Knowledge of Mathematics and Statistics
Beginner in Python & R Programming
Ready to Learn Passionately

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Data Science Course Content

Introduction to Data Science

Why to learn Data Science
Scope of Data Science
Jobs In Data Science

Introduction to Python & R

Installation of Anaconda
How to launch Jupyter Notebook, Spyder and R-Studio in Anaconda
Shortcut keys of Jupyter Notebook and Spyder
How to install Packages in python
Download and Install R-Studio independently (without Anaconda)
Shortcut keys of R-Studio
How to install Packages in R-Studio
Similarities between Python & R

Basics of Python & R

Variables & Data Types
Statements and loops
Different types of operators
Functions and Modules

Population & Sample

Types of Characteristics

Attributes
Variables

Types of Data

Primary Data
Secondary Data
Cross-sectional Data
Time Series Data
Directional Data

Methods of Sampling

Simple Random Sampling with and without Replacement
Stratified Random Sampling
Systematic Sampling
Cluster Sampling
Two Stage Sampling

Summary Statistics

Measure Central Tendency

Arithmetic Mean
Mode
Median
Mean
Quartiles
Deciles
Percentiles
Geometric Mean
Harmonic Mean

Measure of Dispersion

Range
Semi interquartile Range (Quartile Deviation)
Mean Deviation
Variance
Standard Deviation
Mean Squared Deviation
Coefficient of Variation(C.V.)

Moments, Skewness & Kurtosis

Raw Moments
Central moments
Relation between Raw and Central Moments
Concept of Skewness and Its Types
Bowley’s Coefficient of Skewness
Concept of kurtosis and Its Types

Correlation Analysis

Types of Correlation Coefficients
Karl Pearson’s Coefficient of Correlation
Spearman’s Rank Correlation Coefficient
Types of Correlation
Positive Correlation (Poor, Moderate and Strong)
Negative Correlation (Poor, Moderate and Strong)
No Correlation

Probability

Conditional Probability
Multiplication theorem of Probability
Bayes Theorem

Testing of Hypothesis

Statistic (Estimator)
Parameter
Hypothesis
Null Hypothesis
Alternative Hypothesis
Type I Error
Type II Error
Critical Region
Test
Test Statistic
Level of Significance
P-Value (Observed Level of Significance)
Confidence Intervals

Test for Population Mean

One Sample Z-Test
Two sample Z-Test
One Sample t-Test
Two Sample t-Test

Central Limit Theorem

Test for Population Proportion

One Sample population Proportion
Two Sample Population Proportion

Paired t-Test

Test for Population Variance

Chi-Square Test

Test for Goodness of Fit

Test for Independence of Two Attributes

Test for Equality of Population Variances

F-Test

Analysis of Variance (ANOVA)

Complete Randomised Design
Randomised Block Design

Introduction to Machine Learning

What is Machine Learning?
Types of Machine Learning
Supervised Learning
Unsupervised Learning
Applications of Machine Learning

Data Visualisation with interpretation

Bar plot
Histogram
Pie Chart
Boxplot
Scatter plot
Many More……

Supervised Machine Learning

Regression Analysis

Simple Linear Regression
Multiple Linear Regression
Non-linear Regression (Logarithmic, Exponential, Polynomial, Quadratic, and many more)
Stepwise Regression (Forward Selection and backward elimination)
Regularization Techniques (Ridge & Lasso Regression)

Classification

Logistic Regression
Naïve Bayes Algorithm
K-Nearest Neighbours
Support Vector Machine
Decision Tree
Ensemble Techniques
Bagging (Random Forest)
Boosting (Gradient Boosting, XGBoost, AdaBoost, etc.)
Neural Networks (Multi-layer perceptron)

Unsupervised Machine Learning

Dimensionality Reduction Technique

Principal Component Analysis

Clustering Analysis

Hierarchical Clustering
Single Linkage
Complete Linkage
Average Linkage
Median Linkage
Weighted Linkage
Ward Linkage
Non – Hierarchical Clustering
K – Means

Association Rule & Recommendation System

Measure of association
Support
Confidence
Lift Ratio
Market Basket Analysis (Affinity Analysis)
Apriori Algorithm

Deep Learning

Introduction to Neural Network & Deep Learning

Deep Learning Importance [Strength & Limitation]
SP | MLP
Neural Network Overview
Neural Network Representation
Activation Function
Loss Function
Importance of Non-linear Activation Function
Gradient Descent for Neural Network

Parameter & Hyper parameter

Train, Test & Validation Set
Vanishing & Exploding Gradient
Dropout
Regularization
Optimization algorithm
Learning Rate
Tuning
Softmax

Convolutional Neural Network (CNN)

Deep Convolution Model
Detection Algorithm

Recurrent Neural Network (RNN)

RNN
LSTM
Bi Directional LSTM

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Here's What people are saying about InfosecTrain

Sourabh Maha

India

cot The training was awesome. Helped me clear my concepts and also reduced my preparation time to 1/3rd. Thank you, trainer, for all your dedication to bring your gladiators to pace.

William Kimuhu

Kenya

cot I loved the training. Coming for more soon. The trainer is easily reachable and helpful.. I loved the staggered payment option given.

Gourav chaturvedi

cot I must say the admin team is excellent and punctual. The trainers are actually the nerve of the team and know how to engage with the students across all the topics.