Data Science Program

You can get a full Data Science Program Certification & Training course from Fast Learning Technologies. You will learn the Data science with R, Data Science with Python, Machine learning, Deep learning, NLP and AI in this course. The best online Data Science course will also enable you to gain practical experience on actual projects and get you ready for a wonderful career as a Data Science programmer.

Master's Program

From 412 Ratings

 4.4/5

Course Fees: Rs.49000 | Discount Fees: Rs.35000

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Overview of Data Science Program

Data science program in Fast Learning technologies is designed because of Data science is a rapidly growing field that combines mathematics, statistics, computer science, and domain knowledge to extract insights from large datasets. A master’s program in data science can provide the skills and knowledge necessary to work as a data scientist in a variety of industries. An online master’s degree in data science can provide students with the opportunity to gain the skills and knowledge needed to succeed in the field. Online data science master’s programs typically offer courses in data analysis, machine learning, programming, and other topics.

Students may also learn how to use data visualization tools and techniques to communicate their findings. Additionally, some programs may include courses in business analytics, statistics, and operations research. Online programs are often more flexible than traditional programs, allowing students to complete coursework on their own time.

As a result, students can balance their studies with work and other commitments. An online data science master’s program can open the door to a variety of opportunities. Graduates may find positions in areas such as data engineering, data mining, data analysis, machine learning, and artificial intelligence. Graduates may also find positions in various industries.

Training Key Features

Syllabus - Data Science Program

Data science with R

Introduction to R

What is R?
Why R?
Installing R
R environment
How to get help in R
R Studio Overview

R Basics

Environment setup
Data Types
Variables
Vectors
Lists
Matrix
Array
Factors
Data Frames
Loops
Packages
Functions
In-Built Data sets

R Packages

DMwR
Dplyr/plyr
Caret
Lubridate
E1071
Cluster/fpc
table
Stats/utils
Ggplot/ggplot2
Glmnet

Machine Learning using R

Linear Regression
Logistic Regression
K-Means
K-Means++
Hierarchical Clustering – Agglomerative
CART
c5.0
Random forest
Naïve Bayes

Data Science with Python

Introduction to Data Science

What is Data Science?
What is Machine Learning?
What is Deep Learning?
What is AI?
Data Analytics & it’s types

Introduction to Python

What is Python?
Why Python?
Installing Python
Python IDEs
Jupyter Notebook Overview

Python Basics

Python Basic Data types
Lists
Slicing
IF statements
Loops
Dictionaries
Tuples
Functions
Array
Selection by position & Labels

Python Packages

Pandas
Numpy
Sci-kit Learn
Mat-plot library

Importing data

Reading CSV files
Saving in Python data
Loading Python data objects
Writing data to csv file

Manipulating Data

Selecting rows/observations
Rounding Number
Selecting columns/fields
Merging data
Data aggregation
Data munging techniques

Statistics Basics

Central Tendency
Mean
Median
Mode
Skewness
Normal Distribution
Probability Basics
What does mean by probability?
Types of Probability
ODDS Ratio?
Standard Deviation
Data deviation & distribution
Variance
Bias variance Trade off
Underfitting
Overfitting
Distance metrics
Euclidean Distance
Manhattan Distance
Outlier analysis
What is an Outlier?
Inter Quartile Range
Box & whisker plot
Upper Whisker
Lower Whisker
Scatter plot
Cook’s Distance
Missing Value treatments
What is a NA?
Central Imputation
KNN imputation
Dummification
Correlation
Pearson correlation
Positive & Negative correlation

Error Metrics

Classification
Confusion Matrix
Precision
Recall
Specificity
F1 Score
Regression
MSE
RMSE
MAPE

Machine Learning

Supervised Learning

Linear Regression
Linear Equation
Slope
Intercept
R square value
Logistic regression
ODDS ratio
Probability of success
Probability of failure
ROC curve
Bias Variance Tradeoff

Unsupervised Learning

K-Means
K-Means ++
Hierarchical Clustering

Other Machine Learning algorithms

K – Nearest Neighbour
Naïve Bayes Classifier
Decision Tree – CART
Decision Tree – C50
Random Forest

Upcoming Batches

Schedule Your Batch at your convenient time.

Batch	Day	Timing
Weekdays	Monday, Wednesday, Friday	7 to 8.30AM, 9 to 10.30AM, 6 to 7.30PM ,8 to 9.30 PM
Weekend	Saturday	7 to 10 AM, 9 to 12 AM, 2 to 5 PM, 5 to 8 PM

Want to Book Your Seat?

Data Science Program Certification

All major global multinational corporations accept our certification. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees, by earning this certification, which is provided at the conclusion of the course.

You can increase the importance of your profile during interviews and gain access to a wide range of professional opportunities by combining this certificate with your CV.

The certification is only given upon the successful completion of our training and project-based projects with a practical component.

Our Recent Placements

Kalai

Emphasis

RPA Developer

Ranjan

Wipro

Data Science Engineer

Sanjai

TCS

Cloud Engineer

Gowsalya

Philips

Software Engineer

Richa

GPT Technologies

Java Developer

Krishna

Infosys

Python Developer

Naveen Reddy

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Python Fullstack Developer

Testimonial Reviews

Poovizhirajan R

I joined Fast Learning Technologies to learn Java Fullstack course. It was really an amazing experience and gained a lot of technical knowledge. My trainer Karthik sir teaches every concept with real time example which is very easy to understand. He also helps in clarifying doubts on time and he is very friendly. Thank you so much sir for your guidance. I also thank Fast Learning Technologies Team, Bangalore. Best training institute in Bangalore.

Daniel Be

I enrolled for Python fullstack course in Fast Learning Technologies Bangalore. It is such a wonderful place to learn and I gained great knowledge.Karthik sir explained everything on one to one basis very clearly, with extra time if I had doubt This gave me very good self-confidence. Thanks to Fast Learning Technologies Bangalore

Jai Sankar

I completed my full stack web development training here. The whole experience was extremely wonderful and knowledgeable. Training is completely hands on. You learn to code and work on projects. Sonu sir is one of the best trainer I studied from. The assignment given are really help to check what you learned. I got placed while training itself with a really good package. Overall I recommend Fast Learning Technologies for training and career development.

Prabakaran D

First of all I would like to thank FAST LEARNING TECHNOLOGIES team for their continuous support throughout out my learning. I did PYHON FULL STACK training and the instructor is excellent. He knew in and out of the concepts. The way he explains the concepts is very cool and he will make sure that all concepts are clear to the students. I will look forward for more courses.

Anbu Arasu

It's been an amazing experience with Fast Learning Technologies. My Trainer is Mr.Karthik, he is so friendly and trained us with more effort. I’m not from csc or IT background but the way she thought us made me to learn the course easily. Thank you My training institute Fast Learning Technologies Bangalore.

Sathish Kumar

Fast Learning Technologies is best Python Training in Bangalore .I attended python training in Fast Learning Technologies. Training class and all session was very well and acceptable. Trainer Clear my all queries and doubts very politely. Thanks to Fast Learning Technologies Bangalore.

Santhosh Nisha

AWS Training was excellent with good interaction. Knowledge sharing is good. Course was practical and informative. Staffs were enthusiastic and really aware of what they were explaining. The course helped to build confidence, Valuable experiences and learning. Overall very informative training sessions. Course content got well covered and also demonstrated the concept very well. Thanks for such an informative and concept-clearing training sessions .Thanks to Fast learning Technologies.

Frequently Asked Questions

Who are the Trainers?

Fast Learning Technologies instructors are all industry practitioners with at least 9-12 years of relevant IT experience. They are subject matter experts, who have been trained by Fast Learning Technologies to deliver an extraordinary learning experience.

What if I miss one (or) more class?

Not to worry. Fast Learning Technologies ensure that no single lecture topic is missed. With all such options, we will reschedule the classes at your convenience within the course duration. If necessary, you can attend that topic with any other batch.

Is this course available Online or offline?

All courses are available in both Online and offline mode.

How much is the fee for course?

It is mentioned on the course pages. Discount prices are only available for a limited time.

How long is the duration of the course?

Course duration for Training courses are 30 – 45 Hrs.
Course duration for Master courses are 90 – 135 Hrs.

For any queries?

For any queries please contact us +91 7418595544