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- 30 hours online live instructor-Led Classes
- 10 days Training on Weekends.
- Support after training for Live Project
- Training by highly experienced trainers
Real-life Case Studies
Experience the real-life projects on any of the use cases by employing various IoT concepts at SFJ Business Solution.
We believe in practical learning – thus every class is aligned with a set of assignment that adds maximum value to your time.
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We backed by you in every single step – With personalized support crew, we ensureour availability 24/7 to resolve all your queries.
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Pre-recorded video learning
SFJ Business Solution offers an extreme flexibility – you can access to high quality pre-recorded training videos.
Introduction Data Science and Tool (R)
- Introduction to Data Science
- Introduction to R programming
- R Environment and Basic Commands
Data Handling in R
- Importing data
- Data Exploration
- Creating calculated fields
- Sorting & removing duplicates
Basic Descriptive Statistics in R
- Population and Sample
- Measures of Central Tendency
- Measures of Dispersion
Reporting and Data Validation Using R Percentiles & Quartiles
- Box plots and outlier detection
- Creating Graphs and Reporting
- What is Bigdata & Bigdata Use Cases
- What is Distributed Computing
- MapReduce Introduction
- Hadoop & Tools
- Bigdata on VM
Hadoop, Hive and Pig
- Hadoop Basics
- Map Reduce on Hadoop
- Hive Introduction
- Hive Queries
- Pig Scripting
Bigdata and R
- Connecting R to Hadoop
- R Hadoop Reporting Analysis
Big Data Project
- Data import on to HDFS
- Data Exploration using Hive and Pig
- Data Analysis using R
- Simple Regression models
- Multiple regression
- Redetection using model
- Logistic regression models
- Validation of logistic regression models
- Multicollinearity in logistic regression
- Trees, Entropy and Information Aain
- Building Decision Trees
- Validation of Trees
- Fine tuning and Prediction using Trees
Model Selection and Calibration
- Model Validation measures
- Cross validation techniques
- Boot Strapping
Predictive Modelling Project
- Data exploration and Cleaning
- Model Building
- Validation and Implementation
- Algorithm of Neural Network
- Building neural Network
- Prediction using neural network
About Data Science Course
Data science is an “idea to bind together insights, information examination and their related techniques” to “comprehend and break down real wonders” with information. Data Science Training utilizes systems and speculations drawn from numerous fields inside the wide regions of arithmetic, measurements, data science, and software engineering from the sub-spaces of AI, order, bunch examination, information mining, databases, and perception. The Data Science Certification Course empowers you to pick up information of the whole life cycle of Data Science, examine and picture various informational indexes, diverse Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes.
Why should you go for this course?
- The quantity of Data Science and Analytics work postings is anticipated to develop by almost 364,000 postings by 2020 – Forbes
- The normal compensation for a Data Scientist is $130k according to Glassdoor
- Organizations breaking down information will see $470 billion in efficiency benefits over their opponents not investigating information by 2020
Who should go for this Data Science Course?
The market for Data Analytics is developing over the world and this solid development example converts into an incredible open door for all the IT Professionals. Our Data Science Training causes you to snatch this chance and quicken your profession by applying the methods on various sorts of Data. It is most appropriate for:
- Engineers trying to be an ‘Data Scientist’
- Investigation Managers who are driving a group of examiners
- Business Analysts who need to comprehend Machine Learning (ML) Techniques
- Data Architects who need to pick up mastery in Predictive Analytics
- ‘R’ experts who wish to work Big Data
- Examiners needing to comprehend Data Science strategies
What are the prerequisites of the course?
There is no particular pre-essential for Data Science Training. In any case, a fundamental comprehension of R can be advantageous. Edureka offers you a complimentary self-guided course, for example “R Essentials” when you try out Data Science Training.
What if I missed a session?
If you miss a lecture at SFJBS training you can go through below given options;
- Will share you recorded videos of each class
- You can attend missed class with another batch.
Is there any placement assistance?
Yes! We have our own consultancy we can assist you after completing the course.
Can I attend a demo session before enrolment?
Yes! You can register for free live demo session with SFJBS Training
Who are the instructors and how experienced they are?
SFJBS Training instructors are highly qualified industrial experienced trainers more than 12+ years of experience; SFJ Business Solutions Training will review each trainer in 360 degree.
What if I have more queries?
Contact our best supporting team through +919513642100 or email us on firstname.lastname@example.org we are glad to assist you.
How do I enrol for the online training?
To enrol in our website choose any of the following option to make online payment: • Debit card or credit card • Net Banking • PayPal
Do you provide a money back guarantee?
Yes! We give money back guarantee for 2 to 3 Hour session who paid full amount. Contact our support team and go through refund policy and submit request.
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