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.

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    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


      CETPA, The Best Python Training Institute in Delhi NCR, offers courses in following modes.

      Delivery ModeLocationCourse DurationSchedule (New Batch Starting)
      Classroom Training (Regular/ Weekend Batch)*Noida/ *Roorkee/ *Dehradun4/6/12/24 WeeksNew Batch Wednesday/ Saturday
      *Instructor-Led Online TrainingOnline40/60 HoursEvery Saturday or as per the need
      *Virtual Online TrainingOnline40/60 Hours24x7 Anytime
      College Campus TrainingIndia or Abroad40/60 HoursAs per Client’s need
      Corporate Training (Fly-a-Trainer)Training in India or AbroadAs per needCustomized 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



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        Our Process


        To avail exiting offers and discount on our Data science using Julia training program, you can mail us at or call us at 120- 4535353. You can also visit our center to get your query resolved.
        CETPA Infotech, an ISO 9001:2015 certified training company is the best option to learn Data science using Julia. Since, they provide job based training and their training curriculum is at par with industrial criteria.
        The duration of Data science using Julia course depend on type of training mode you opt for, i.e. Weekday batch, Weekend batch, fast track batch or online batch. For free structure, you can visit our centre or call us at 120- 4535353.
        Data science using Julia is one of the fastest growing languages and has undergone a successful span of more than 25 years as far as its adoption is concerned. This success also reveals a promising future scope of Data science using Julia programming language.
        Becoming a Data science using Julia programmer can be difficult for beginners, especially for those who have no experience of coding. By joining our Data science using Julia Training, you can start learning the language
        This training is suitable for fresher, graduates as well as post graduates. If you are a professional who want to polish your skill, then also you can join this training.
        Anyone who has the passion to learn Data science using Julia can join our training program.
        CETPA has a team of highly experienced industrial experts who have sound knowledge of their domain and will assist you in completion of your live project.
        • Classroom Training
        • Online Training
        • Corporate Training
        • On campus Training
        We accept all the major payment modes like Cash, Card (Master, Visa, and Maestro, etc), Net Banking, UPI, Paytm etc.
        To get more information, you can mail us at or call us at 120-4535353. You can also visit our center to get your query resolved.

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