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Data Science Certification Training in Dublin

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  • Obtain Tutored Novice & Top level Classes.
  • 12402+ Students Trained & 350+ Recruiting Clients.
  • Data Science Certification Immersive hands-on training.
  • Delivered by 12+ years of Data Science Certification Certified Expert.
  • Persistence Way to Student’s Portal, Videos & Top MNC Interview Question.
  • Repetitious effective curricula Designed by Industrial Data Science Certification Expert.
  • Most restorative Preparation for interview Preparation Techniques in Data Science Certification.
  • Next Data Science Certification Batch to Begin this week – Enroll Your Name Now!

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Upcoming Batches

01-Apr-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

27-Mar-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

30-Mar-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

30-Mar-2024
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

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Get Your Passionate Career With Our Data Science Course in Dublin

  • Our Data Science Training route ambitions to provide guidance that combines extremely good technical facts with a hands-on approach.
  • This whole hands-on route takes you from the fundamentals of Data Science to a complex diploma in weeks.
  • Get hands-on programming to enjoy Python that you will be able to right now look at in the real world.
  • Adorn yourself with the skills you need to artwork with big records sets, gather predictive models, and tell a compelling story to stakeholders.
  • You'll have a take observe the prevent-to-prevent records generation process, defensive the whole thing you need to recognize to derive rate from complex records.
  • By the prevent of the route, you will be cabin a function to talk records insights successfully via records visualizations.
  • For your capstone, you’ll area gadget-studying models into production to cope with real global records challenges.
  • At ACTE Training, we guide teachers in obtaining suitable qualifications. In addition, for each route we provide, we have a tough certificate of completion.
  • 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
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs

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Course Objectives

  • Among all Data Science, Data Science has grown as the market leader in business analytics.
  • Most MNCs and larger corporations have a high demand for Data Science-certified professionals today.
  • Data Science jobs can provide you with full-time employment and the opportunity to work with top companies.
  • Data Science's Demand and Future Scope.
  • Master concepts such as knowledge visualization and integration.
  • Power Pivot, Power View, Power Map, and other similar tools should be studied.
  • Custom Visuals should be used and implemented.
  • Learn more about Data Science metal Q&A.
  • Execute knowledge .
  • Data formatting and binding.
  • As mentioned at the end of the section, business intelligence has evolved corporations' decision-making skills, allowing them to create the most powerful future actions for corporations and find themselves growing even more.
  • Data Science has emerged as the leader in business analytics among all BI tools.
  • Most MNCs and larger corporations have a high demand for Data Science certified professionals today.
  • Data Science jobs can pay well and provide you with the opportunity to work for large corporations.
The following are the roles and responsibilities of an influential BI developer:
  • Recognize the needs of the business and build data models accordingly.
  • Accountable for project documentation and style methodology.
  • Using Power BI desktop to improve visual reports, dashboards, and KPI scorecards.
  • Highly skilled in data analysis for the creation of educational visuals and stories.
  • Excellent at building DAX queries in Data Science Desktop.
To learn or work with Data Science, you do not need any coding skills. If you want to figure out what the essential Graphical User Interface (GUI) of Data Science has to offer, you'll need to look into DAX, R, or M. Data Science alters this. Any analyst can connect to any information source and quickly summarise findings into a simple report, with no programming required. Any advanced user who is comfortable with creating models that reference other sheets or performing advanced functions such as operation can easily make the change to Data Science.
Data Science can be a powerful business intelligence tool, but beginners should first understand the concepts of knowledge visualization before attempting to use it. A Data Science course is one of the most effective resources for beginners to learn from the ground up.
  • Excel's process is faster than Power Excel's.
  • Data Science dashboards are a lot more visually appealing, interactive, and customizable than Excel dashboards.
  • Data Science is a collection of powerful tools that excel at comparing tables, reports, or data files.

Are there any Microsoft Data Science job openings?

  • In today's data-driven world, Business Intelligence (BI) appears to be a more beautiful known opportunity.
  • If you're looking for a job in Data Science, you'll want to know what positions are available for Data Science developers.
  • Data visualization is a business prospect, and tools used to reflect data will be required, so Data Science is working to be a diverse and powerful tool for ambitious candidates.

What is the goal of Data Science education?

Data Science is a collection of computer software services, apps, and connectors that work together to transform your disparate data sources into coherent, visually immersive, and interactive insights.Your expertise could also be represented by an Excel spreadsheet or a collection of cloud-based and on-premises hybrid data warehouses.

Who should enroll in this Data Science certification course?

  • Individuals looking for work as Business Analysts, Business Development Managers, and so on.
  • Statisticians are advancing in their ability to apply their statistical knowledge to gain business insights.
  • Professionals in marketing, finance, sales, and other domains who require extensive Business Intelligence.

What is the average salary for a Data Science developer?

In India, the average salary for a Data Science specialist is Rs. 3,87,188. Filter results by location to see Data Science Consultant salaries in your area.

What exactly are Data Science tools?

  • Service for data science.
  • Gateway for Data Science.
  • Server for Data Science Reports.
  • Mobile Data Science Apps.
  • Integration of data.
  • Processing of data.
  • Data Visualization.
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Overview of Data Science Certification Training in Dublin

ACTE Data Science Online Training is nicely ready with lab centers and awesome infrastructure for offering you real-time Online Courses revel in. We additionally offer a Data Science Certification program. We have effectively skilled and furnished placements for lots of our students in the most important MNC Companies, after finishing the Data Science Online Training route. We offer 100% placement aid for our students. We offer Classroom and Weekend Training, and a Fast route for pleasant Data Science Course.

Students have the choice to choose the route timings in step with their convenience. Material for Data Science online Course is designed in keeping with present-day eventualities and could assist students in know-how the Data Science Training ideas in detail. Every subject matter protected below the Data Science can be defined in realistic approaches with examples. Our Data Science Certification Experts are licensed professionals and skilled Experts s with real-time Data Science Course initiatives knowledge.

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Key Features

ACTE DublinUSA 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) Dublin.

 

Syllabus of Data Science Course in Dublin

Module 1: Introduction to Data Science with R
  • What is Data Science, significance of Data Science in today’s digitally-driven world, applications of Data Science, lifecycle of Data Science, components of the Data Science 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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Best Practising on Live Data Science Projects In Dublin

Project 1
House Price Prediction

It predicts the median value of owner-occupied homes by applying machine learning algorithms.

Project 2
Exploratory Data Analysis

Exploratory Data Analysis is the process of making sense of your data by investigating it.

Project 3
Sarcastic News Detection

This project involves developing a classification model to classify a news headline as sarcastic or not sarcastic.

Project 4
Data cleansing Project

The main aim of this project is to check whether our database has some duplicates that are not detected.

Our Top Hiring Partner for Placements

    ACTE Offers placement opportunities as add-on to every student / professional who completed our classroom or online Data Science Certification Training in Dublin. Some of our students are working in these companies listed below.
  • We have connections with major Indian businesses that may assist trainees. Students will get the opportunity to work for organizations such as HCL, Wipro, Dell, Accenture, Google, CTS, TCS, and IBM.
  • ACTE will Instruct students using a one-of-a-kind student portal that will be created and supplied to them. all across the Section.
  • We will organize interview calls for students and prepare them for face-to-face engagement with prospective MNCs once they have completed 50% of the Training curriculum.
  • Placement Instructors assist students in restarting attempts to adjust for the industry's existing shortcomings.
  • Our team leads a group discussion with the learners at the end of the course.
  • We have a specialist Placement guide team wing that assists students in finding the best fit for them.
  • We have separate placement student sites where you can find all of the interview schedules and information that we will send you via email.

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 Trainer

  • ACTE Data Science Training Trainers are well-known professionals that work for large worldwide businesses and have 7+ years of expertise in their respective professions.
  • Because all Trainers are Training space operators, they have some maintenance efforts available to them that they may utilize to accomplish some goals throughout Training sessions.
  • Our professors have worked for companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, and HCL Technologies, to name a few.
  • Trainers employ the worker Referral Hiring strategy to assist individuals in finding employment in their various forms.
  • Our professors are business experts and compassionate professionals who have developed cardiovascular fitness programs to provide students with the best possible training.
  • After reading the Guide, Certification Trainers explain the foundations of employer evaluation.
  • Our hands-on training style will provide you with industry-relevant skills, allowing you to be important assets in the development of a career in an ever-expanding field.
  • Our Data Science Certification Experts are licensed professionals and skilled Experts s with real-time Data Science Certification initiatives knowledge.

Data Science Certification Course Reviews

Our ACTE DublinUSA 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.

Nandhini

Student

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.

Sathish

Software Engineer

ACTE is the best training institute to learn Data Science or any other programming language. The placement assistance is very good and students have good very high packages in the software industry.

Ebenazar

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.

Illakiya

Student

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.

Tharani

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

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
    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 and National Institute of Education (NIE) Dublin
  • 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), Dublin.
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 ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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