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Data Science Certification Training in Brisbane

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  • Freshers & Advanced level Classes.
  • Hands-On Learning in Data Science.
  • 13492+ Students Trained & 370+ Recruiting Clients.
  • Performed by 12+ years of Data Science Certified Expert.
  • Affordable Prices with Best curriculum Designed by Expert.
  • Best Training for Interview Preparation Methods in Data Science.
  • Life Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Next Data Science Certification Batch to Begin this week – Enroll Your Name Now!

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Upcoming Batches


Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session


Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session


Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session


Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

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Have Cracked Their Dream Job in Top MNC Companies

Obtain Our Smart Data Science Certification & Placement Training in Brisbane

  • Become a Data Scientist via way of means of taking on the entire Data Science courses designed for going for walks specialists and glowing graduates.
  • This Data Science certification training gives hands-on exposure to key generation at the side of R, Python, Machine Learning, Tableau, Hadoop, and Spark via live interaction with practitioners, realistic labs, and employer projects.
  • This qualification establishes your capability to govern real-time artwork and identifies you from the competition.
  • Get hands-on programming to enjoy Python that you may be able to right away comply with inside the real global.
  • Equip yourself with the competencies you need to artwork with huge facts sets, assemble predictive fashions, and tell a compelling story to stakeholders.
  • You'll study the forestall-to-forestall facts generation process, protecting everything you need to apprehend to derive charge from complex facts.
  • At ACTE Training, we guide instructors in obtaining suitable qualifications. In addition, for each course we offer, we have a hard certificate of completion.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

Course Objectives

  • The word 'data science' was authored in 2008 when enterprises comprehended the prerequisite for data advisors who are knowledgeable about breaking down and putting together a tremendous extent of data.
  • The specific meaning of Data Science is the possibility to make informed reasonable and processable to hurl quality out of it.
  • data Scientists are specialists in distinguishing related inquiries, extricating data from data sources, stacking the data, changing over results into arrangements, and connecting with the discoveries to raise the business.
  • data science has been classified as "the hottest job of the 21st Century" by Harvard Business Review. The Scope of Data science is getting more well known lately.
  • data researchers are experts who can work on large data through coding and calculations and transform it into a critical thinking answer for the business. They regularly have an incredible base in software engineering, insights, science, displaying, examination mixed with an overwhelming negotiating prudence.
  • data researchers are specialists in the utilization of programming, similar to Java, Hadoop, Python, and Pig. Their errands incorporate business investigation, organizing examination, and data the executives. The fundamental justification for Data Science's future getting brilliant is its top-of-the-line request as a result of digitalization.
  • data researchers are a distinct advantage for any association. They can inspect large data and get the answer for the improvement cycle without any problem. The specialists help in building showcasing systems just as give remarkable suggestions on the item front. data science fills in as the structure square of any association.
  • There is no particular degree yet for anybody to graduate as an data researcher, however, ACTE offers a broad Data Science course that could assist you with being a specialist in the subject, alongside an industry-important affirmation. The vast majority of the well-known data examination express that with time, an individual gets a decent hold on data science. It is a field where experience counts more than a degree.
  • There is a wide extent of Data Science in India with the progression in innovation. data science has arisen as one of the most smoking vocation scopes. The youthful age is seeing a lofty tendency towards data investigation, data science, and a stream identified with software engineering.
  • Having a college degree in software engineering or a cheerful stream.
  • Should realize how to run projects and programming, like Python, Pig, Hadoop, SQL, and that's only the tip of the iceberg.
  • Ought to have extraordinary business abilities.
  • One necessity to have an extraordinary comprehension of calculations or science.
  • The individual ought to have authority characteristics so that later on they can lead the association while heading to progress.
  • Abilities assume a significant part concerning information science. The majority of the enrollment specialists need up-and-comers who have insight in handling genuine issues concerning information investigation.
  • For having a superior extent of information examination, degrees don't make any difference yet both experience and expertise matter the most.
  • It isn't so much that that fresher have a slim likelihood of getting employed, however top worldwide organizations favor enrolling candidates who are capable and adept simultaneously.
  • There is no 'nitwit's handbook' that can transform an individual into an effective information researcher. Understudies need to dedicate their time and work to get a decent hang regarding this matter.
    The extent of Data Science is developing as time passes. From 2008 to 2020, individuals across the globe have ventured into the digitalization age. The gigantic development of information gives a brief look at the future extent of Data Science in India.

Who should take up this Data Science Certification Training in Brisbane?

  • Individuals trying to find jobs as Business Analysts, Business.
  • Development Managers, etc.
  • Statisticians progressing to implement their statistics skills to derive business insights.
  • Marketing, finance, sales, and different domain professionals who want intensive Business Intelligence.

What is the aim of Data Science Training?

    Data Science is a variety of computer software services, apps, and connectors that job along to show your independent sources of data into coherent, visually immersive, and interactive insights. Your knowledge could also be an excel program or a group of cloud-based and on-premises hybrid data warehouses.

Is Data Science tough?

    Following a particular follower is difficult because it becomes immense and profound as the ocean as is information science. The schedule of Data Science contains delicate abilities like relational abilities and extreme abilities incorporating SQL and Python.

    Some of the time understudies think that it is troublesome because mastering another expertise accompanies a ton of persistence and commitment. Numerous understudies don't maintain this passage limit and thus think that it is troublesome. A portion of the famous Data Scientists likewise recommends that dominating information science accompanies utter devotion and time, however, it is great on account of the compensating vocation Data Science offers.

What is a Data Science developer's average salary?

    The nationwide common salary for a Data Science specialist is ₹3,87,188 in India. Filter by place to see Data Science Consultant salaries in your region.

What are Data Science tools?

  • Data Science service.
  • Data Science Data Gateway.
  • Data Science Report Server.
  • Data Science Mobile Apps.
  • Data Integration.
  • Data Processing.
  • Data Presentation.
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Overview of Data Science Certification Training in Brisbane

The ACTE Data Science course in Brisbane will help you grasp Machine Learning methods, PySpark SQL, Data Mining, Git, and other topics. Learn from industry experts while working on real-world projects and case studies. Get this Data Science course to further your career as a certified Data Scientist. Our Data Science course strives to provide high-quality training that systematically covers fundamental concepts. This type of exposure to current company use-cases and scenarios may help trainees improve their abilities and perform period comes with the most effective methods. We provide real-world training and come to Brisbane for Data Science Training on weekdays and weekends.

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Key Features

ACTE Brisbane offers Data Science Certification Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


Syllabus of Data Science Course in Brisbane
Module 1: Introduction to Data Science
  • What is Data Science Certification , significance of Data Science Certification in today’s digitally-driven world, applications of Data Science Certification , lifecycle of Data Science Certification , components of the Data Science Certification lifecycle, introduction to big data and Hadoop, introduction to Machine Learning and Deep Learning, introduction to R programming and R Studio.
  • Hands-on Exercise - Installation of R Studio, implementing simple mathematical operations and logic using R operators, loops, if statements and switch cases.
Module 2: Data Exploration
  • Introduction to data exploration, importing and exporting data to/from external sources, what is data exploratory analysis, data importing, dataframes, working with dataframes, accessing individual elements, vectors and factors, operators, in-built functions, conditional, looping statements and user-defined functions, matrix, list and array.
  • Hands-on Exercise -Accessing individual elements of customer churn data, modifying and extracting the results from the dataset using user-defined functions in R.
Module 3: Data Manipulation
  • Need for Data Manipulation, Introduction to dplyr package, Selecting one or more columns with select() function, Filtering out records on the basis of a condition with filter() function, Adding new columns with the mutate() function, Sampling & Counting with sample_n(), sample_frac() & count() functions, Getting summarized results with the summarise() function, Combining different functions with the pipe operator, Implementing sql like operations with sqldf.
  • Hands-on Exercise -Implementing dplyr to perform various operations for abstracting over how data is manipulated and stored.
Module 4: Data Visualization
  • Introduction to visualization, Different types of graphs, Introduction to grammar of graphics & ggplot2 package, Understanding categorical distribution with geom_bar() function, understanding numerical distribution with geom_hist() function, building frequency polygons with geom_freqpoly(), making a scatter-plot with geom_pont() function, multivariate analysis with geom_boxplot, univariate Analysis with Bar-plot, histogram and Density Plot, multivariate distribution, Bar-plots for categorical variables using geom_bar(), adding themes with the theme() layer, visualization with plotly package & building web applications with shinyR, frequency-plots with geom_freqpoly(), multivariate distribution with scatter-plots and smooth lines, continuous vs categorical with box-plots, subgrouping the plots, working with co-ordinates and themes to make the graphs more presentable, Intro to plotly & various plots, visualization with ggvis package, geographic visualization with ggmap(), building web applications with shinyR.
  • Hands-on Exercise -Creating data visualization to understand the customer churn ratio using charts using ggplot2, Plotly for importing and analyzing data into grids. You will visualize tenure, monthly charges, total charges and other individual columns by using the scatter plot.
Module 5: Introduction to Statistics
  • Why do we need Statistics?, Categories of Statistics, Statistical Terminologies,Types of Data, Measures of Central Tendency, Measures of Spread, Correlation & Covariance,Standardization & Normalization,Probability & Types of Probability, Hypothesis Testing, Chi-Square testing, ANOVA, normal distribution, binary distribution.
  • Hands-on Exercise -– Building a statistical analysis model that uses quantifications, representations, experimental data for gathering, reviewing, analyzing and drawing conclusions from data.
Module 6: Machine Learning
  • Introduction to Machine Learning, introduction to Linear Regression, predictive modeling with Linear Regression, simple Linear and multiple Linear Regression, concepts and formulas, assumptions and residual diagnostics in Linear Regression, building simple linear model, predicting results and finding p-value, introduction to logistic regression, comparing linear regression and logistics regression, bivariate & multi-variate logistic regression, confusion matrix & accuracy of model, threshold evaluation with ROCR, Linear Regression concepts and detailed formulas, various assumptions of Linear Regression,residuals, qqnorm(), qqline(), understanding the fit of the model, building simple linear model, predicting results and finding p-value, understanding the summary results with Null Hypothesis, p-value & F-statistic, building linear models with multiple independent variables.
  • Hands-on Exercise -Modeling the relationship within the data using linear predictor functions. Implementing Linear & Logistics Regression in R by building model with ‘tenure’ as dependent variable and multiple independent variables.
Module 7: Logistic Regression
  • Introduction to Logistic Regression, Logistic Regression Concepts, Linear vs Logistic regression, math behind Logistic Regression, detailed formulas, logit function and odds, Bi-variate logistic Regression, Poisson Regression, building simple “binomial” model and predicting result, confusion matrix and Accuracy, true positive rate, false positive rate, and confusion matrix for evaluating built model, threshold evaluation with ROCR, finding the right threshold by building the ROC plot, cross validation & multivariate logistic regression, building logistic models with multiple independent variables, real-life applications of Logistic Regression
  • Hands-on Exercise -Implementing predictive analytics by describing the data and explaining the relationship between one dependent binary variable and one or more binary variables. You will use glm() to build a model and use ‘Churn’ as the dependent variable.
Module 8: Decision Trees & Random Forest
  • What is classification and different classification techniques, introduction to Decision Tree, algorithm for decision tree induction, building a decision tree in R, creating a perfect Decision Tree, Confusion Matrix, Regression trees vs Classification trees, introduction to ensemble of trees and bagging, Random Forest concept, implementing Random Forest in R, what is Naive Bayes, Computing Probabilities, Impurity Function – Entropy, understand the concept of information gain for right split of node, Impurity Function – Information gain, understand the concept of Gini index for right split of node, Impurity Function – Gini index, understand the concept of Entropy for right split of node, overfitting & pruning, pre-pruning, post-pruning, cost-complexity pruning, pruning decision tree and predicting values, find the right no of trees and evaluate performance metrics.
  • Hands-on Exercise -Implementing Random Forest for both regression and classification problems. You will build a tree, prune it by using ‘churn’ as the dependent variable and build a Random Forest with the right number of trees, using ROCR for performance metrics.
Module 9: Unsupervised learning
  • What is Clustering & it’s Use Cases, what is K-means Clustering, what is Canopy Clustering, what is Hierarchical Clustering, introduction to Unsupervised Learning, feature extraction & clustering algorithms, k-means clustering algorithm, Theoretical aspects of k-means, and k-means process flow, K-means in R, implementing K-means on the data-set and finding the right no. of clusters using Scree-plot, hierarchical clustering & Dendogram, understand Hierarchical clustering, implement it in R and have a look at Dendograms, Principal Component Analysis, explanation of Principal Component Analysis in detail, PCA in R, implementing PCA in R.
  • Hands-on Exercise -Deploying unsupervised learning with R to achieve clustering and dimensionality reduction, K-means clustering for visualizing and interpreting results for the customer churn data.
Module 10: Association Rule Mining & Recommendation Engine
  • Introduction to association rule Mining & Market Basket Analysis, measures of Association Rule Mining: Support, Confidence, Lift, Apriori algorithm & implementing it in R, Introduction to Recommendation Engine, user-based collaborative filtering & Item-Based Collaborative Filtering, implementing Recommendation Engine in R, user-Based and item-Based, Recommendation Use-cases.
  • Hands-on Exercise -Deploying association analysis as a rule-based machine learning method, identifying strong rules discovered in databases with measures based on interesting discoveries.
Module 11: Introduction to Artificial Intelligence (self paced)
  • introducing Artificial Intelligence and Deep Learning, what is an Artificial Neural Network, TensorFlow – computational framework for building AI models, fundamentals of building ANN using TensorFlow, working with TensorFlow in R.
Module 12: Time Series Analysis (self paced)
  • What is Time Series, techniques and applications, components of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series in R, sentiment analysis in R (Twitter sentiment analysis), text analysis.
  • Hands-on Exercise -Analyzing time series data, sequence of measurements that follow a non-random order to identify the nature of phenomenon and to forecast the future values in the series.
Module 13: Support Vector Machine - (SVM) (self paced)
  • Introduction to Support Vector Machine (SVM), Data classification using SVM, SVM Algorithms using Separable and Inseparable cases, Linear SVM for identifying margin hyperplane.
Module 14: Naïve Bayes (self paced)
  • what is Bayes theorem, What is Naïve Bayes Classifier, Classification Workflow, How Naive Bayes classifier works, Classifier building in Scikit-learn, building a probabilistic classification model using Naïve Bayes, Zero Probability Problem.
Module 15: Text Mining (self paced)
  • Introduction to concepts of Text Mining, Text Mining use cases, understanding and manipulating text with ‘tm’ & ‘stringR’, Text Mining Algorithms, Quantification of Text, Term Frequency-Inverse Document Frequency (TF-IDF), After TF-IDF.
Module 16: Case Study
  • This case study is associated with the modeling technique of Market Basket Analysis where you will learn about loading of data, various techniques for plotting the items and running the algorithms. It includes finding out what are the items that go hand in hand and hence can be clubbed together. This is used for various real world scenarios like a supermarket shopping cart and so on.
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Hands-on Knowledge Data Science Certification Projects

Project 1
Web Scraping Project

It collects all the review information from all the web pages of this site and stores it in a data frame.

Project 2
Happiness Report

This project helps the system to detect if people are happy or sad as a human being can.

Project 3
Education Access Prediction

It helps students perform for the admission test online and provides a college list according to the marks.

Project 4
College Enquiry Chat Bot

College bot project using artificial algorithms analyze users’ queries and understand user’s messages.

Our Top Hiring Paretner for Placements

    ACTE provides placement possibilities to all students and experts who have finished our Data Science Certification Training in Brisbane, whether in-person or online. Many of our scholars work at the organizations listed below.
  • You will Get advantageous Placement on Data Science Training Certification and above thoughts but you'll, in addition, be associated beside the Best practices.
  • ACTE Course divisions joined with steeple teams like Wipro, Dell, Accenture, etc. It makes raised within the space of our students in pinnacle MNCs organizations.
  • We have separate student portals for organization, Directly here you'll accept all of the interview registries, and that we encourage you in Emails.
  • After Finishing 75% of the Training route content, we can come upon the Placement calls to varsity learners & community onward with them to Face to Face Communication.
  • Training Instructors encourage students in advancing their resumes equaling the modern company's desires.
  • We have a loyal Profession guide crew wing that helps learners in achieving induction in line with their needs.
  • We demand schedule Exams and Conferences to get the Candidate's knowledge.
  • ACTE Placement Team creates a Group Discussion about the topic at the end of the Training Segment.

Get Certified By MCSE: Data Management and Analytics & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees. Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

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About Experienced Data Science Trainers

  • ACTE Trainers have a minimum of 10+Years of Experience in the data science field and come from top MNC companies in Brisbane.
  • Our Trainers analyze the present skill level of the Beginners and generate intentions based on that knowledge.
  • Our Trainers have received Awards Like the Best Training Classes for Competitive Exams Entrance (National/Regional), Best Management Entrance Training (National/Regional).
  • The Trainer assesses the Beginner's progress and instructs them on areas where they may improve.
  • ACTE Tutors have a great level of organization, as they frequently check multiple schedules and dependability in any given course.
  • During The Course, our Tutor may even be required to aid Learners in learning about the leading specific topic area.
  • Our Tutors have Institutional leadership and a minimum of 10+years of experience, and they continue to grow and develop as learners.

Data Science Certification Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    • Gives
    • For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Data Science Certification training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Data Science Certification Course At ACTE?

  • Data Science Certification Course in ACTE is designed & conducted by Data Science Certification experts with 10+ years of experience in the Data Science Certification domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Data Science Certification batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Data Science Certification . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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