Data Science Using Julia Certification Training
Discover the depths of Data Science Using Julia Technology. Join us now to gain comprehensive insights into Data Science Using Julia Technology from a seasoned professional.
5 out of 5 based on 101 user reviews. | 
| 
| 
| 
Enquire Now
Accreditations & Affiliations
Training Features
Instructor-Led Sessions
Real-Life Case Studies
Assignment
Live Projects
Connect with 2 Lakh + Alumni
Govt. Recognized Certification
Dedicated Placement Support
App-Based Learning
A CMMI Level 5 Company
Best Data Science Using Julia Training in Delhi NCR
CETPA Infotech offers data science with Julia training in Noida which will help you to understand Julia's rich ecosystem and includes the essentials of data science, providing you with a high-level summary of advanced statistics and methods. The benefits of Julia for data science cannot be underestimated. Apart from speed and ease of use, there are already over 1,900 packages available and Julia can interface (either directly or with the help of packages) with libraries written in Python, R, MATLAB, C, FORTAN, or C++
The Julia programming language and environment were designed in 2009. They are free from various disadvantages that other solutions created for single-processor and low memory machines have. Data science using Julia course in Noida is designed for those who seek the in- depth data exploration. Even the basics of Julia language facilitate you to improve your skills on your own thanks to the rich documentation. The great efficiency of this environment makes the work with a huge set of data a pleasant and creative task.
Data science using Julia course in Delhi NCR is suitable for:- Data analysts and budding data scientists who are new to Julia
- Those competent in Python and R and wish to adopt Julia to enhance their skills set in Data Science
- Data Scientists, data analysts, engineers, programmers, and other professionals
- Free Lancers
There is number of reasons which make CETPA best Data Science using Julia Training Institute in Noida. Some of them are:
- CETPA is certified by ISO 9001:2015 certification.
- Training Partner with brand names like Microsoft, PMKVY, Panasonic, Oracle & Autodesk many more.
- 100% Placement Guidance after completion of your training.
- Enhancement of Technical Skills along with the Soft Skills.
- Interview preparation
- Trainers with real-time Industry Experience
- Learn by working on live projects. need and convenience.
- Training is provided using the mixture of both academic and practical.
- Online training is also provided, apart from Classroom Training.
- A Hands-on methodology to help you master the domain.
Talk To Advisor
MODE/SCHEDULE OF TRAINING:
| Delivery Mode | Location | Course Duration | Schedule (New Batch Starting) |
|---|---|---|---|
| Classroom Training (Regular/ Weekend Batch) | *Noida/ *Roorkee/ *Dehradun | 4/6/12/24 Weeks | New Batch Wednesday/ Saturday |
| *Instructor-Led Online Training | Online | 40/60 Hours | Every Saturday or as per the need |
| *Virtual Online Training | Online | 40/60 Hours | 24x7 Anytime |
| College Campus Training | India or Abroad | 40/60 Hours | As per Client’s need |
| Corporate Training (Fly-a-Trainer) | Training in India or Abroad | As per need | Customized Course Schedule |
Course Content
- What is Data and it’s use in presentworld ?
- What are the sources of Data ?
- Exponential Growth in Data.
- Different types of Data.
- Structured, Semi-structured andUnstructured Data.
- What is Data Science?
- Need of Data Science in present world.
- What is Data Mining?
- What is Data Analytics?
- Data collection from different sources.
- What is data sampling?
- Data Processing and preprocessing.
- Data processing based on differentkinds of data.
- Data Cleaning before processing.
- Handling the missing values in Data.
- Different algorithm implementation ondata
- Different tools available for dataanalytics
- Introduction to and hands on toGitHub.
- Introduction to Julia language
- History of Julia language
- Why to Learn Julia ProgrammingLanguage?
- Datatypes in Julia language
- Operators in Julia language
- Introduction to loops
- Introduction to Conditions
- Mathematical Operators in Julia
- Arithmetic Operators
- Bitwise operators
- Numeric Comparisons
- Operator Precedence
- Numeric Conversions
- Strings in Julia
- String basics
- Trigonometric Plots in Julia
- Customizing the graphs with Julia
- Whiskers graph in Julia
- Line Graphs in Julia
- Pie Chart using Julia
- Funnel Chart with Julia
- Relative Frequency Histogram
- Segmented Bar Graph
- Introduction to basic plot package ‘Plots’
- Introduction to Gadfly
- Working with IJulia package
- Working in notebook with Julia
- Working with Clustering Package
- Working with Plotly package
- Working with Winston Package
- Introduction to Dataframe package
- Working with dataframes
- Introduction to GLM Package
- Implementing the Linux commands inJulia
- Implementing python and R packages inJulia
- Using Calculus package in Julia
- What is statistics?
- Usefulness of statistics in Data Science
- Understanding the use of mean, medianand mode in real dataset
- Interpretation of variance and standarddeviation on dataset
- Understanding the meaning of covariance
- Understanding and Implementation ofBinomial Distribution
- Implementation of Linear Regression ondataset
- Implementation of Multiple Regressionon dataset
- Implementation of Logistic Regression
- Understanding and Implementation ofPoisson Distribution
- Understanding and Implementing TimeSeries
- Conducting the Chi- Square Test
- Meaning of R square
- Meaning of Z score
- Survival analysis using Julia
- What is machine learning?
- Supervised Learning
- Unsupervised Learning
- Reinforced Learning
- K-Means Clustering
- KNN Algorithm
- Naïve Bayes Algorithm
- Support Vector Machine
- Principle Component Analysis
- Implementing Decision Tree
- What is Big Data ?
- Sources of Big Data in present world.
- Features of Big Data.
- Importance of Big Data in real world.
- What are the problems of Big Data?
- Why conventional methods can’t process the Big Data?
- Tools available to process the Big Data
- Data Handling using conventional tools(oracle, mysql, postgre)
- Hands on to the core Java
- What is Hadoop?
- History of Hadoop
- Why Hadoop was needed to handlebigdata?
- Architecture of Hadoop
- Components of Hadoop and theirworking
- Algorithm behind the working of Hadoop
- Hadoop Distributed File System
- Map Reduce Algorithm in Hadoop andit’s dissection
- Map Reduce Programming hands on inHadoop
A mini Project on Data Science using learnt tools
Our Process
FAQ'S
- Classroom Training
- Online Training
- Corporate Training
- On campus Training
Career Assistance
- Build an Impressive Resume
- Attend Mock-Up Interviews with Experts
- Get Interviews & Get Hired
Training Certification
Earn your certificate
Your certificate and skills are vital to the extent of jump-starting your career and giving you a chance to compete in a global space.
Share your achievement
Talk about it on Linkedin, Twitter, Facebook, boost your resume or frame it- tell your friend and colleagues about it.
Upcoming Batches
What People Say
Our Partners
Need Customized Curriculum? Request Now
Structure your learning and get a certificate to prove it.
Our Clients
Our Placed Students
Review Us
Sushmita Kumari
Wednesday, 07 September 2022
Data Science Using Julia Training In Noida
You should join this training institute for data science using Julia. I had great learning and experience doing this training with experienced trainers.