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Data Science Certification Training in Melbourne

Data Science Certification Training Course in Melbourne helps candidates master Data Analytics, data modeling, algorithms related to machine learning, K-means clustering, etc. Candidates will also learn R statistical computing, recommending movies, building a recommendation engine for e-commerce, and deploying market basket analysis in the market. Candidates in Melbourne can expect to get the best online Data Science training from top data scientists too. Data Science certification course in Melbourne helps candidates understand all the basic concepts related to Data Science which helps them in becoming Data Scientists. These include deploying analytics, cleansing and transforming data, acquiring data, methods on how to cluster these data, techniques related to data mining, rules associated with data, and more with hands-on experiences.
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30 Hours
20 Hours
Training Courses in Australia
365 Days
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Attend our Instructor Led Online Virtual Classroom
USD 300 USD 255Enroll now
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About Course

Data Science is a way to understand and analyze the trends, behaviour, interpretation, and inferences related to data which can be used as a support system for any business. The professionals who carry out these major steps related to data are known as Data Scientists. Data Science is one of the most recommended course in the world. So let’s understand what are the concepts that are covered in Data Science certification training and how will this course training help candidates in Melbourne as there are many institutions that are providing online training, 24/7 assistance with the course, placements, and deep understanding of salary structures based on the job role.

Data Science certification with R programming language in Melbourne focuses on providing candidates an in-depth knowledge of different data analysis techniques that are performed with the help of R. Following are the objectives of Data Science course training:

  • Mastering R programming language: This includes understanding the basics of R language, R studio, R packages, and functions such as DPYR, data visualization, understanding data structure, and other graphs in R.
  • Mastering statistical concepts: Statistical concepts such as linear and logistic regression, cluster analysis, forecasting, etc can be learnt during the training period.
  • Executing real-life projects with the help CloudLab. This will give candidates a hands-on experience.

Following are the six major concepts that are learnt in Data Science training:

  • Fundamentals and techniques related to data science
  • How to work with predictive analytics and forecasting
  • Importing and exporting data with the help of R
  • Spotting of trends, patterns, and relationships in data
  • Python programming so as to understand machine learning
  • Hadoop and spark fitting

Following are the candidates who can take up Data Science Course in Melbourne:

  • All those candidates who are planning to become expertise in Data Science and machine learning
  • Candidates with information architect background can take up the course to learn predictive analytics
  • Candidates interested in improving their Big Data statistics skills
  • Machine learning is one of the important concepts for developers and software programmers
  • Professional from Big Data specialization, Business Analytics, and Business Intelligence
  • Candidates having a background from any stream with good analytical and logical skills

There are no such specific prerequisites for taking Data Science, but all those who are interested in Mathematics, will find this course interesting. Basic knowledge about Python, SAS tools, and R will help. Good communication skills are also required.

Melbourne is one of the biggest cities in Australia having great opportunities for all the certified Data Scientists to get jobs in various fields such as technology, manufacturing, automobile, business services, transportation, and many more. With the help of deployment of Data Science, all these sectors are looking forward to expand their business. So it is evident that the job opportunities in Melbourne for Data Science is massive.

There are many advantages for all those who take Data Science certification training which will help them in their career in Melbourne. There is a huge requirement for Data Science professionals as the world is moving towards digitalization of all the domains. The gap between consumers and producers can be reduced with the help of Data Scientists and other professionals from Data Science who are having a good number of job opportunities with great salaries. Today, Data Science professionals are considered to be one of the highest paid professionals in the world. Hence, there are so many advantages of this certification course.

There might be a question right now, why one should take up Data Science course training in Melbourne? The answer is very simple, there is a huge requirement of Data Science professionals in Melbourne. There are so many institutions that give online training, real time training, 24/7 live support to help candidates understand every concept with detailed explanations, and also with placement assurances.

Introduction to Data Science with R

This course content concentrates on explaining what is Data Science, importance of Data Science in today’s world, applications, lifecycle, and hands-on experience on how to install R studio, running simple operations with the help of Hadoop and R programming. Also an introduction to all logical operations using R operators.

Data exploration

Introduction to how to explore data, importing and exporting of data, what and how to work with dataframes, looping statements and other related functions.

Data manipulation

This includes manipulation of data by selecting rows and columns, using basic filter functions and other related functions such as sampling and counting, adding new columns, summarising the end results, etc with the help of functions and operators.

Data visualization

This content includes visualization of graphs, functions related to graphs, distribution of numerical with the help of different plots such as bar-plot, histogram, etc.

Introduction to statistics

Need of statistics, terminologies, categories, types, and other related concepts of statistics.

Machine learning

This includes an introduction to machine learning, introduction to regression, formulas, and other terminologies related and sub-concepts of regression such as linear regression, building linear models, etc.

Logistic regression

This includes an introduction to logistic regression, real-life applications and examples and other related sub-concepts.

Other concepts

These include decision trees, rules related to data mining, AI, analysis of time series, and case studies.

Data Science Course in Melbourne Syllabus

During the data science online course, you will master several machine learning concepts like the Decision Tree, Random Forest, Gradient Boosting, Boosted Trees K-mean Clustering, and Naïve Bayes using Python. Gangboard has two types of online course available that the student can choose from – one to one training and online classroom. A student can choose from the two courses depending on their requirement. The price for the one to one curse is the cheapest in the world, yet the tutors are of very high quality.

Introduction to R

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

Understanding R data structure

  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Cbind,Rbind, attach and detach functions in R
  • Factors
  • Getting a subset of Data
  • Missing values
  • Converting between vector types

Importing data

  • Reading Tabular Data files
  • Reading CSV files
  • Importing data from excel
  • Loading and storing data with clipboard
  • Accessing database
  • Saving in R data
  • Loading R data objects
  • Writing data to file
  • Writing text and output from analyses to file

Manipulating Data

  • Selecting rows/observations
  • Rounding Number
  • Creating string from variable
  • Search and Replace a string or Number
  • Selecting columns/fields
  • Merging data
  • Relabeling the column names
  • Data sorting
  • Data aggregation
  • Finding and removing duplicate records

Using functions in R

  • Apply Function Family
  • Commonly used Mathematical Functions
  • Commonly used Summary Functions
  • Commonly used String Functions
  • User defined functions
  • local and global variable
  • Working with dates

R Programming

  • While loop
  • If loop
  • For loop
  • Arithmetic operations

Charts and Plots

  • Box plot
  • Histogram
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing graphs
  • Cover all the current trending packages for Graphs

Machine Learning Algorithm

  • Sentiment analysis with Machine learning
  • C 5.0
  • Support vector Machines
  • K Means
  • Random Forest
  • Naïve Bayes algorithm

Statistics

  • Correlation
  • Linear Regression
  • Non Linear Regression
  • Predictive time series forecasting
  • K means clustering
  • P value
  • Find outlier
  • Neural Network
  • Error Measure

Leading Topics

  • Overture of R Shiny
  • What is Hadoop
  • Integration of Hadoop in R
  • Data Mining using R
  • Clinical research preface in R
  • API in R (Twitter and Facebook)
  • Word Cloud in R

Upcoming Batches

Start Date End Date Time (EST) ( UTC -5) Day
22 Nov 2019 20 Dec 2019 (08:30 PM - 11:00 PM) Fri,Sat
23 Nov 2019 21 Dec 2019 (08:30 AM - 11:00 AM) Sat,Sun
25 Nov 2019 23 Dec 2019 (08:30 PM - 10:00 PM) Mon-Fri
26 Nov 2019 24 Dec 2019 (10:00 AM - 11:30 AM) Tue-Sat
26 Nov 2019 24 Dec 2019 (08:30 AM - 10:00 AM) Tue-Sat

Data Science Certification Training in Melbourne Reviews

FAQ

Detailed installation of required software will be displayed in your LMS. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.

No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.

Top-notch professionals in that field who understands how to convey things in technical as well as subject matter experts.

We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.

  1. Visa Debit Card / Credit Card
  2. American Express
  3. Master Card, Or
  4. PayPal

You can reach us through +91-9707 250 260 / +1-917 410 5449. Or you can share your quires through enq@gangboard.com. Estimated turnaround time will be 24 hours for emails.

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