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Data Science Certification Training in Australia

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  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
  • You will not only gain knowledge of Data Science Certification and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
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  • Concepts: Data Science Certification , significance of Data Science Certification in today’s digitally-driven world, components of the Data Science Certification lifecycle, big data and Hadoop, Machine Learning and Deep Learning, R programming and R Studio, Data Exploration, Data Manipulation, Data Visualization, Logistic Regression, Decision Trees & Random Forest, Unsupervised learning, Association Rule Mining & Recommendation Engine, Time Series Analysis, Support Vector Machine - (SVM), Naïve Bayes, Text Mining, Case Study.
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Course Objectives

The potential for quantum computing and data science is big within the future. Machine Learning may also method the data abundant quicker with its accelerated learning and advanced capabilities. supported this, the time needed for finding advanced issues is considerably reduced. The role of the data scientist is currently a buzzworthy career. It's standing within the marketplace and provides opportunities for folks that study data science to create valuable contributions to their firms and societies at giant.

Big data. Data scientists shrewdness to use their skills in maths, statistics, programming, and alternative connected subjects to prepare giant information sets. Then, they apply their knowledge to uncover solutions hidden within the information require on business challenges and goals. Data science is high in demand and explains however digital information is remodeling businesses and serving to them create chiseler and significant selections. therefore digital data is everywhere for folks that are trying to figure as a data scientist.

  • Get comfy with Python
  • Learn information analysis, manipulation, and visualization with pandas
  • Learn machine learning with scikit-learn
  • Understand machine learning in additional depth
  • Keep learning and active
With the correct qualifications, you’ll get pleasure from a bright career outlook as a knowledgeable soul. The demand for people with these skills can still increase, and people already in data science roles are bound to see their salaries increase within the future. Data scientists work at intervals in most major industries wherever growth is occurring. Not only did IBM predict the demand for data scientists would grow by 28th in 2020, however, the Bureau of Labor Statistics considers data science within the prime twenty quickest growing occupations and has projected thirty-first growth over the following 10 years.
Data science groups have folks from various backgrounds like chemical engineering, physics, economics, statistics, mathematics, research, technology, etc. You'll realize several data scientists with a bachelor's degree in statistics and machine learning however it's not a demand to be told Data Science.
The various edges of Data Science are as follows:
  • The abundance of Positions
  • An extremely Paid Career
  • Data Science is flexible
  • Data Science Makes information higher
  • Data scientists are extremely Prestigious
  • Apache Spark
  • BigML
  • Excel
  • ggplot2

What are the purposes of the Data Science Certification?

The key objective of Data Science is to extract valuable data to be used in the strategic higher cognitive process, development, analytic thinking, and statement. The key techniques in use are data processing, huge data analysis, data extraction, and data retrieval. The purpose of data science is to create the means for extracting business-focused penetrations from data. This requires an understanding of however worth and data flows in an extremely business, and therefore the ability to use that understanding to find business opportunities.

What skills are utilized in a Data Science Online Training in Australia?

One of the foremost necessary technical knowledge soul skills is applied math analysis and computing, mining, and process big data sets. This additionally includes extracting the info that's thought valuable. Some information scientists have a pH scale
  • Statistics
  • Programming Language R/ Python
  • Data Extraction, Transformation, and Loading
  • Data wrangle and information Exploration
  • Machine Learning And Advanced Machine Learning (Deep Learning)

What are the job opportunities after completing the Data Science Certification Course?

To name many, a number of the foremost common job titles for information scientists include:
  • Business analyst
  • Data Mining Engineer
  • Data designer
  • Data Scientist
  • Senior Data Scientist

What are the requirements for learning Data Science Certification?

Data science requires the basics of statistics and mathematics, which should be clear to be able to analyze the problems that are at hand. To solve business problems, you need to have soft skills like team management and control over the projects to meet the deadlines. You will find many data scientists with a bachelor's degree in statistics and machine learning but it is not a requirement to learn data science

Will Data Science requires coding background?

You need to possess knowledge of different programming languages, like Python, Perl, C/C++, SQL, and Java, with Python being the foremost common cryptography language needed in data science roles. These programming languages facilitate data scientists to organize unstructured data sets.6
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Overview of Data Science Training in Australia

Data Science Training in Australia the records research is an exam of actual reactions, as herbal technology, of innate technology. Data is veritable, records have proper properties, and at the off hazard that we're to manipulate them, we want to consciousness on them. Data technology joins records and positive symptoms and symptoms are not an event, it's far a cycle. This Data Science Training in Australia the cycle is to apply records to fathom and spot an unreasonable range of various matters. Permit us to renowned when you have a trouble version or rationalization, and also you undertaking to aid your records with that rationalization or version. They are the capacity to uncover (or separate) the portions of statistics and examples at the back of the records. It is via way of means of interpreting statistics right into a tale. Use describing for statistics. Also, you could choose an affiliation or established order purposely with this insight.

We can in like way describe records technology as a subject that publications of movement with cycles and structures in which records is removed, whether or not or now no longer the records is unstructured or coordinated, from diverse structures and assets. The definition and names have been made as instructors, IT experts, and analysts broke down the instructive application of reports, and that the notion is higher to call it as records technology and a quick time later as records evaluation. ACTE will give excellent training and will assist you in advancing to the next level.

Additional Info

Introduction to Data Science

I might agree with statistics technology to be one, and I might find out replies to the factors they may be getting to know from one to many tries to manipulate statistics. Taking the entirety into account, it's far notably extra as regards statistics than technology. You are investigating it depending on your personal requirements, and the interest of dissecting your statistics, endeavoring to accumulate solutions or satisfy the wishes of society via your statistics inspected, adjusted, and labored out – that is statistics technology. You are eager on operating with and adjusting records to fulfill your wishes.

Data technology is pertinent nowadays in view that an exquisite many statistics focuses are on hand on a solitary or unmarried statistics factor. We have now no longer been concerned via way of means of the absence of statistics. We currently have an abundance of statistics. Before, no calculations have been characterized; proper now, we've got calculations. Beforehand, this system turned into now no longer to be had to all because it turned into too high priced, so simply oodles of coins ventures may want to make use of it, but, it's far currently loose and open source. Since capability is in like way fantastically high priced and currently on hand for a cut-up expense, we are able to accumulate billions of informational indexes for an incredibly minimum price. Before we do not actually take delivery of that we may want to shop a tremendous degree of records.

Career Path in Data technology:

Data technology is at this factor notion to be one of the commercial enterprise's maximum effective positions. Data technology occupations deliver the best symptoms and symptoms of development with extraordinary openings throughout all spaces. As institutions are dynamically busy with records technology, institutions are the use hordes of records experts. In any case, the charming commencing for records technology occupations that seemed in another way in terms of candidates is virtually turning into regardless of the reality that India is a pioneer in mechanical coaching and studies.70 percent of occupations round right here at this factor cowl records experts with beneathneath 5 years of affiliation with an evaluation withinside the valid ecosystem.

A records scientist's livelihood manner is tough for diverse inspirations to observe. Most companies on the medium and vital stage degrees with extra than 10-15 years of contribution started with programming or coding obligations in mild of the reality that the commercial enterprise turned into now no longer evolved sufficiently to fuse a records scientist's task. Nevertheless, via way of means of and via way of means of matters are changing, and the accompanying pages of records analysts could have all of the extra clean notions in their careers.

Job Roles of Data Science:

Information Scientist :

The any business enterprise an "Information Scientist." That's the purpose specialists are maximum widely recognized in recent times for this undertaking. This undertaking is used by many companies because it isn't tough to appearance and follows for wannabes. For a comparable purpose, extraordinary companies use assignments, for instance, "commercial enterprise information master" or "marketplace analyst.

The task of a statistics researcher: "a first-rate combo of capacities that can each open up statistics reports and recount a wonderful tale via the statistics" is characterized via way of means of the American mathematician and PC professional DJ Patil. Information researchers likewise want to foster AI fashions for forecast in modern paintings environments, find out examples and styles in statistics, see statistics, or even pitch showcasing approaches.

Skillset: insights, math, statistics demonstrating, programming of Python or R, Extra capacities: Business competencies, Visualization/BI, display capacity. Business acumen.

Company stepping stool: The stepping stool might resemble the accompanying for a dermatologist/IT master/marketplace investigator. It is to be noticed, nonetheless, that institutions, as in step with their lodging or their company construction, can rename positive arrangements. A "lead statistics researcher" in particular institutions, for instance, may be referred to as an "essential statistics scientist.

Industry Path in Data Science :

Data technology lets in dealers to affect our buying rehearses, but, the importance of statistics collection is going an extended manner beyond that. Information technology can enhance well-known wellness via way of means of wearable trackers, which rouse people to tackle higher propensities and geared up people to cappotential wellness challenges. Information might also additionally likewise enhance analytic exactness, boost up the locating of drugs for particular sicknesses, or even forestall contamination from spreading.

The factor, while the flare-up of Ebola contamination arrives in West Africa, researchers may want to observe the sickness' unfold and foresee the areas normally powerless towards the illness. These statistics have been applied to preserve the wellness government from stepping into the sector earlier than the episode.

These statistics helped the wellness government to evolve to the flare-up and stop a global plague. In many ventures, statistics technology has fundamental applications. For instance, ranchers use the statistics for effective meals development, meals carriers to reduce meals squander, and non-gain institutions to assist to elevate aid endeavors and estimate financing wishes. For instance, ranchers use the statistics to lower meal squander.

Financial analyst and Freakonomics writer stated in a speech that CEOs recognize approximately the importance of Big Data but haven't any appropriate organizations to be had to them to play out those competencies.

Data Science are in Constant Demand :

Schedlbauer finishes up "There is an inexpensive requirement for gifted specialists to recognize a commercial enterprise prerequisite, to foster a statistics dynamic association and in a while to execute that association," regardless of the reality that paintings on records sciences will maximum possibly be mechanized for the duration of the subsequent 10 years. Practically all fields, from kingdom safety to relationship applications, require statistics technology experts. To correctly serve their customers million of endeavors and authorities' places of work depend upon massive statistics. Professions in statistics technology are profoundly stated and this sample might not earlier than lengthy sluggish, in case ever. There are diverse approaches you could plan to tackle those tough but interesting jobs assuming you want to interrupt into the sector of statistics technology. Perhaps in particular, via way of means of displaying your capacity and beyond operating revel in, you have to convince destiny laborers. One method to manufacture those competencies and revel in is to guide postgraduate Training on your subject of interest.

For version, the University of Northeastern gives Masters in statistics technology and statistics research to foster the competencies managers appearance for. The initiatives likewise provide understudies a possibility to participate in cooperatives and experiential gaining knowledge of encounters, with the aim that they could bring together common-sense revel in earlier than graduation. When elements like your personal revel in, interest, and vocation dreams are notion approximately, you could discern out which diploma application is right for yourself and make the subsequent stride in conducting your goals.

Data Science has revolutionized commercial enterprise increase during the last decade. Amazingly, it now has to turn out to be viable to segregate and shape particular predictive records to extract beneficial insights to your commercial enterprise. You may even use those insights in different regions like income and advertising and marketing to boom your commercial enterprise’s sales. However, this isn't in which the powerful use of records ends There are many advantages of records technology and motives why you shouldn’t forget about its use in your commercial enterprise.

Benefits of studying Data science

  • Improves Business Predictions An established records technology agency can place your records to paintings to your commercial enterprise the use of predictive evaluation and structuring your records. The records technology offerings they offer use present-day era inclusive of gadgets gaining knowledge of and synthetic intelligence (AI) to assist examine your agency’s records format and make destiny selections in order to paintings on your favor. When applied to its complete cappotential, predictive records let you make higher commercial enterprise selections
  • Business Intelligence Data Science can collaborate with RPA experts to pick out diverse records technology offerings of their commercial enterprise. They can then increase computerized dashboards that seek all of these records in actual time in an incorporated manner. This intelligence will permit your agency’s managers to make quicker and extra correct selections.
  • Helps in Sales & Marketing Data-pushed advertising and marketing is an all-encompassing time period in recent times. It is due to the fact best with records are you able to provide solutions, communications, and merchandise that meet purchaser expectations. If you figure with a records technology agency, they'll use an aggregate of records from more than one reasserts and offer extra unique insights to your teams. Imagine acquiring the whole purchaser adventure map, which includes all touchpoints of your clients together along with your brand. Data technology offerings make this creativeness a reality
  • Increases Information Security Data technology has many advantages, which include its capacity to be applied within side the subject of records safety. Needless to say, there are numerous opportunities in this area. Professional records Science will let you preserve your client's security via way of means of developing fraud prevention structures. Additionally, they also can examine routine styles of conduct in agency structures to discover architectural flaws. Additionally, they also can examine routine styles of conduct in agency structures to discover architectural flaws.
  • Complex Data Interpretation Data Science may be an exquisite device to mix extraordinary records assets to recognize the marketplace and commercial enterprise higher. You can integrate records from each “physical” and “digital assets relying on which equipment to apply for records collection. This lets you visualize the marketplace higher.
  • Helps in Making Decisions One of the most important advantages of operating with a records technology agency is its established capacity to assist your commercial enterprise make knowledgeable selections primarily based totally on dependent predictive records evaluation. They can create equipment that permits them to view records in actual time, generating outcomes and permitting extra agility for commercial enterprise leaders. This may be carried out via way of means of the use of dashboards or projections made viable via way of means of a records scientist’s records treatment.
  • Automating Recruitment Processes Data Science is a key purpose for the advent of automation in many industries. It has removed repetitive and mundane jobs. Resume screening is one such task. Companies address lots of resumes each day. Many businesses can acquire lots of resumes to fill a task. Businesses use records technology to make the experience of a lot of these resumes and discover the proper candidate. Image recognition, which makes use of the records technology era to transform visible statistics from resumes into the virtual format, is an apt instance of a records technology offerings application. The records are then processed with the use of extraordinary analytical algorithms inclusive of category and clustering to discover the exceptional candidate for the task. Businesses additionally examine the cap potential applicants for the task and study the trends. This lets them attain out to cap potential applicants and afford an in-intensity view of the task-seeker marketplace.
  • Final Word Working with a records technology agency may be a go-to answer to your commercial enterprise to assist it to turn out to be extra green in this virtual age. We wish you’ve accrued beneficial insights from this newsletter to use on your commercial enterprise. Data researchers paintings in near cooperation with commercial enterprise gamers to recognize their goals and to understand the usage of statistics to perform those destinations. They foster cycles for statistics displaying, make calculations and prescient fashions to collect statistics from commercial enterprise necessities, dissect and proportion statistics with others. The cycle for statistics collection and Do you observe records technology can gain your new commercial enterprise? Let us recognize within side the comments

Roles and Responsibilities

    Exam, even as every undertaking is unique, for the maximum part, follows the accompanying path:
  • Ask the proper questions to begin the procedure of discovery
  • Data collection
  • Clean and procedure records
  • Data integration and storage
  • Initial records studies and records evaluation exploratory
  • Choose one or extra viable algorithms and fashions
  • Apply strategies of records technology, inclusive of gad get Training, statistical modeling, and synthetic intelligence
  • Measuring and improving outcomes
  • Present the stakeholders' very last outcomes
  • Make feedback-primarily based totally adjustments
  • Repeat a brand new problem-fixing procedure.

Pascale for Data Science :

The common income for records in scientists is 698K INR. A company scientist with much less than a yr of revel in may count on to earn kind of .500,000. Early records Science with 1 to four years of revel in earn 610K in step with yr. In India, a records scientist with five to nine years of understanding earns .10,00,000 in step with yr. As your understanding and abilities grow, your wages as a senior records scientist in India skyrocket via way of means of extra than 170,000 every yr! In their early careers, records engineers earn around . 700k LPA (1-four years of revel in).

As they visit the mid-stage, a records engineer's earnings rise to . 121K. (with 5 to 9 years of revel in). It is viable to make extra than .157,500 LPA.LPA may be made via way of means of records engineers with 15 years of labor revel in. And you could earn a mean general reimbursement of 900K while you are a mature and skilled records analyst, who has been within side the zone for 10 to 19 years.

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Key Features

ACTE Australia 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 Certification Course in Australia
Module 1: Introduction to Data Science Certification with R
  • 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 Real Time Data Science Certification Projects

Project 1
Wallmart Sales Data Set

Retail is another industry that extensively uses analytics to optimize business processes.

Project 2
Flipkart Classification Dataset

This project is to forecast sales for each department and increasing labelled dataset using semi-supervised classification.

Our Top Hiring Partner for Placements

ACTE Australia offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.
  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Data Science Certification training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Data Science Certification Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

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.

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About Experienced Data Science Certification Trainer

  • Our Data Science Certification Training in Australia. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are Data Science Certification domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Science Certification training to the students.
  • We have received various prestigious awards for Data Science Certification Training in Australia from recognized IT organizations.

Data Science Certification Course Reviews

Our ACTE Australia Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.



ACTE is the best training institute for Data science and Data Analytics in BTM Layout. The trainers are well experienced and the methodology of teaching is top notch. They provide practicals along with theoretical sessions for complete understanding of the concepts. They even provide placement assistance after course completion as well.


Software Engineer

I have joined ACTE for Data Science course and feeling proud to be a part of such best institute. When you have trainer like Ramesh sir, success is yours. Also the best part of institute is staff member and recruitment team. Institute provides maximum interview calls. I got placed in Xento system through ACTE. Thank you team for your friendly support. I would suggest all to join ACTE for best training and placement support.


Best DATA SCIENCE training institute in Tambaram with Realtime client projects and dedicated support team. I have taken Data science training on this January and completely happy with their teachings, projects and job support after the course completion. It's a One stop destination for your data science And AI training in BTM Layout.



ACTE for your career switch to Data Science..They have well experienced Trainers in ACTE who can make you industry ready. Curriculum is quite unique and includes current industry needs. They give very good job assistance also.


Software Engineer

Its a good institute for Data Science in Porur. The teaching staff is good, they give us day wise assignments which helped me to hands on algorithms of machine learning and also provide us the backup classes. The access they provide is very helpful to listen the classes repeatedly. They provide good placement assistance. Thanks social ACTE team for your support and guidance.

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Data Science Certification Course FAQs

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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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