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Data Science Certification Training in Melbourne

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  • Beginner & Advanced level Classes.
  • Hands-On Learning in Data Science Certification .
  • Best Practice for interview Preparation Techniques in Data Science Certification .
  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Affordable Fees with Best curriculum Designed by Industrial Data Science Certification Expert.
  • Delivered by 9+ years of Data Science Certification Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
  • Next Data Science Certification Batch to Begin this week – Enroll Your Name Now!

Fee INR 18000

INR 14000

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Training

  • Case Studies and Projects 15+

  • Hours of Training 80+

  • Placement Assurance 100%

  • Expert Support 24/7

  • Support & Access Lifetime

  • Certification Yes

  • Skill Level All

  • Language All

Learn From Experts, Practice On Projects & Get Placed in IT Company

  • 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.
  • Experienced Trainers and Lab Facility.
  • IBM Data Science Certification Professional Certificate Guidance Support with Exam Dumps.
  • For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
  • Resume & Interviews Preparation Support.
  • 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.
  • START YOUR CAREER WITH Data Science Certification COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
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  • Non-IT to IT (Career Transition) 2371+
  • Diploma Candidates3001+
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  • Engineering Students3571+
  • CTC Greater than 5 LPA4542+
  • Academic Percentage Less than 60%5583+
  • Career Break / Gap Students2588+
02-Dec-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

04-Dec-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

30-Nov-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

01-Dec-2024
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

    Hear it from our Graduate

    About Data Science Certification Online Training Course in Melbourne

    ACTE often overlap and teach students how to work with large amounts of information. It's Purpose and tools used by each discipline are different. It focuses on all the information which cannot be processed using traditional database systems. Benefits Accelerate your career in Data Science with the exclusive Data Scientist training course in London, UK in collaboration with IBM. Experience world-class Data Science training by an industry leader on the most in-demand Data Science and Machine learning skills. Gain hands-on exposure to key technologies including R, Python, Tableau, Hadoop, and Spark. Become an expert Data Scientist today.
    Most Job Oriented DataScience Online Modules Covered
    • R Programmming Python, SAS Artifical Intelligence
    • Deep Learning Machine Learning Statistics, Naive Bayes
    • Linear Algebra, CART Programming, Neural Networks Data Mining, Visualization
    Most of the peoples need good job and good salary while, Learning Data Science Certification will raise your probabilities of acquiring a good job and the well maintained career option.... The demand for a data scientist is growing day by day since there are not many experts in this field. Learning Data Science Certification will provide you the chance of finding a well decent job in this market where they are particularly required right now. Data Science Certification a highly lucrative career option.
    Meanwhile, For several years data scientist has been ranked as one of the top jobs in india and around the world, in terms of pay, job demand, and satisfaction. Companies are increasingly using the data scientist title for other similar roles such as data analyst. "I think that what we're seeing is a little bit of the standardization and the professionalization of Data Science Certification ," "The past ten years have been a bit of the Wild West when it comes to Data Science Certification .
    While, demand for Data Science Certification skills is growing exponentially, according to job sites. The supply of skilled applicants, however, is growing at a higher pace. It's a great time to be a data scientist entering the job market. ... "More employers than ever are looking to hire data scientists." it's a great time to be a data scientist entering the job market. That's according to recent data from job sites Indeed and Dice.
    We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings in Data Science Certification . Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
    Data Science Certification is a good field, skilled Data Science Certification are some of the most sought-after professionals in the world. Because the demand is so high and strong, and the supply of people who can truly do this job well is so limited, Data Science Certification is a command huge salary and excellent perks, some peoples can able even at the entry level. Many companies also label data analysts as information scientists. This classification typically involves working with a company’s proprietary database.
    So coming to this there are not a great different. Data Science Certification is the field that comprises of everything that related to data cleansing, data mining, data preparation, and data analysis. Big Data refers to the vast volume of data that is difficult to store and process in real-time. This data can used to analyse insights that can lead to better decision making. Data Science Certification algorithms are used in industries such as internet searches, search recommendations, advertisements.
    Analysts and researchers have been around long before big data, which is why data analyst roles are well defined. Data analysts do not need to have advanced coding skills, but have experience with analytics software, data visualization software, and data management programs.
    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.
    Data Science Certification Is giving world wide job opporutunites Data Science Certification remains to be one of the best jobs in 2020. According to McKinsey, the US will be facing a shortfall of 250,000 data scientists by 2024. Though the jobs market is in constant change, a data scientist job still hits the top list. If you are interested in learning Data Science Certification , that's awesome. With more and more things being driven by data we need more people to understand what's needed to produce successful and safe Data Science Certification machine learning projects. ... Data Science Certification is totally worth doing.
    Data Scientists Have a great future. Research shows 94 percent of Data Science Certification graduates have gotten jobs in the field since 2011. One of the indicators that Data Science Certification careers are well suited for the future is the dramatic increase in Data Science Certification job. The demand for a Data Science Certification is growing day by day since there are not many experts in this field. Learning Data Science Certification will provide you the chance of finding a decent job and the bright future in this market where they are particularly required right now.

    Top reasons to consider a career in Data Science Certification ?

    The potential for quantum computing and Data Science Certification is huge in the future. Machine Learning can also process the information much faster with its accelerated learning and advanced capabilities. Based on this, the time required for solving complex problems significantly reduced. Companies require skilled Data Scientists to process and analyses their data. They not only analyse the data but also improve its quality. Therefore, Data Science Certification deals with enriching data and making it better for their company
      Payscale of Data Scientists in India The terrific salaries offered in this domain is what is driving many youngsters to consider data science as an exceptional career choice. According to the research conducted by IBM in collaboration with Burning Glass Technologies and Business Higher Education Forum, the tendency in the demand for data scientists will continue strongly in the years to come.Therefore, the salary scale in this domain will remain high for the next few years. What is the salary scale of the data science professionals in the country. The average pay scale of a data science professional in India is estimated as 606,987 rupees. A fresher who finished the data scientist course could expect a minimum of 3 to 5 lakh packages in the country.An experienced data science professional makes around 10lakhs a year. Many multinational companies offer way beyond the estimated packages for data science professionals working in different job roles. What are the Different Applications of Data Science? Decision making
    • Any organization, be it a small or medium enterprise or a multinational company, everything revolves around data.
    • The most important decisions are always taken studying the previous data. Every organization formulates strategies to improve their marketing by studying the data.
    • Data science helps them to derive the most accurate outcomes that help formulate the best strategies.
    • Being a data science professional, you will be the core decision maker of your organization.
    Search Engine Optimization
    • The best example to define the application of Data Science in Search Engine Optimisation is google applying the techniques of data science to give the best results to the search query given by the user.
    • In other words Google can be defined as an embodiment of Data Science as everything that google gives is data driven.
    • Uses image recognition and suggestions for the related suggestions.
    E-commerce
    • Data science in E-commerce is mainly used for improving user experience.
    • It is widely used in the field of e-commerce to study the user's behavior by analyzing his previous purchases and recommend products according to the user's relevance.
    • It also helps in forecasting the market and formulating the right strategy.
    • Every relevant product recommendation you receive on the e commerce websites comes from the sophisticated data science algorithms.
    Electronics
    • Since everything around us is turning out to be automatic, data science has wide applications in the area of electronics.
    • Alexa works on the data science engine to understand the user and work accordingly.
    • Many smart home appliances today employ Data Science to give the best experience to their users.
    Prerequisites of Learning Data Science Decision making
    • Concerning the rising demand and the exciting impact of this amazing field, it is the right time to the best data science course.
    • If you are keen on learning data science, let us know what are the Prerequisites to take up the data science certification program.
    Mathematical skills
    • Even as the modules of data science demands math skills, being good at mathematical concepts such as linear algebra, matrices, calculus, gradients etc is one of the prerequisites for taking up a data science course online.
    Programming skills
    • Possessing a minimum knowledge of programming would aid you to gain complete knowledge and understanding throughout the data science training.
    • The list of these programming languages includes Python, C, C++, SQL, Java and many more.
    • Knowing these programming languages would assist you in modeling the unstructured datasets which are the primary role of any data science professional.
    • The more understanding you have on these languages, the more it makes the data science course easy.
    Statistical analysis
    • Being good with statistical analysis would be a great asset to master data science.
    • The main aim of data science is to extract useful insights from a huge collection of data.
    • Experience working with analytical tools such as Hadoop, R, SAS and many more will serve you in efficiently performing the statistical analytics of the given data.
    Data visualization skills
    • Being a data scientist, it is important to converse with people in the organization to implement the strategies he/she makes by studying the data.
    • Possessing knowledge of the data visualization tools such as Matplottlib, tableau and many more would help you comprehend the complex outcomes and let the audience understand the metrics.
    • These tools let people easily grasp the insights you are trying to deliver.
    • Choose the best data science institute to design your career the best way you can.
    Learn Data Science from the Best Institute
    • Considering the demand Data Science has attained over the years, many institutes are claiming to offer courses in this domain.
    • The institute that we choose to master a technology plays a major role in defining your career.
    • If you are someone aspiring to become a data scientist and are seeking to take up the best data science course , choose Great Learning.
    • Great Learning is one of the top most institutes that offer the best Data Science course in India.
    • Over the years, Great Learning has earned credibility and established a standard for the quality of education it delivers in the market.
    • There are many attributes that makes Great Learning stand as the best in the market.
    Let us learn a little about Great Learning World Class faculty
    • Great Learning has an impressive group of faculty that inspire the candidates that take up the course.
    • Great Learning has been appreciated for the excellent choice of faculty. The faculty of Great Learning are highly accomplished.
    • Each of them are alumni of the most reputed educational organisations of the world.
    • They do possess enormous knowledge and experience in their respective domains.
    • Besides being taught by the faculty crew, several industry experts of Data Science also participate in delivering lectures from their practical experiences which help the candidates to gain various insights considering the industry perspective of Data Science.
    Placement Assistance
    • Great Learning has been associated with most of the reputed companies across the country. Candidates can partake in the regularly organised placement drives by Great Learning.
    • The hiring partners of Great Learning include companies like The Math Company, Swiggy, Cognizant, HSBC, Genpact, American Express, Big basket, IBM, KPMG and many more.
    Hands on Learning
    • Great Learning allows it’s candidates to gain a comprehensive hands one exposure to the tools of Data Science and makes them job ready. The capstone project of the Data Science course by Great Learning is considered as the cornerstone of the overall learning of a candidate.
    • The capstone project is designed to employ all the tools and techniques learnt in the classroom rigorously and gain expertise.
    • Besides the capstone project, candidates will also participate in multiple labsessions. During the lab sessions, candidates will work on various real life scenarios and learn to employ Data Science tools and concepts.
    • All the lab sessions and the capstone project will be organised under the constant guidance of the faculty members and the industry experts.
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    Key Features

    ACTE Melbourne 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 .
     

    Curriculum

    Syllabus of Data Science Certification Course in Melbourne
    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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    Our Top Hiring Partner for Placements

    ACTE Melbourne 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.

    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.

    Get Certified

    About Experienced Data Science Certification Trainer

    • Our Data Science Certification Training in Melbourne. 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 Melbourne from recognized IT organizations.

    Data Science Certification Course FAQs

    Looking for better Discount Price?

    Call now: +91-7669 100 251 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
    ACTE
      • Gives
    Certificate
      • 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 .
    • 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 project experience, job support, and lifetime resources.
    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 76691 00251 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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          Job Opportunities in Data Science

          More Than 35% Of Developers Prefer Data Science. Data Science Is The Most Popular And In-Demand Programming Language In The Tech World.

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