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Data Science Certification Training in Montreal

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22-Apr-2024
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17-Apr-2024
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Most Job Oriented Tools Covered in Data Science Training in Montreal

Inspire Your Career Opportunities with Our Data Science Course in Montreal

  • Kickstart your career in statistics generation & ML. Build statistics generation skills, studies Python & SQL, analyze & visualize statistics, assemble gadget studying models.
  • This whole hands-on course takes you from the fundamentals of Data Science to a complex degree in weeks.
  • Get hands-on programming experience in Python that you'll be able to right now observe withinside the real world.
  • Equip yourself with the skills you need to artwork with massive statistics sets, assemble predictive models, and tell a compelling story to stakeholders.
  • You'll study the prevent-to-prevent statistics generation process, protective the whole thing you need to understand to derive charge from complex statistics.
  • By the prevent of the course, you'll be able to talk statistics insights efficiently thru statistics visualizations.
  • For your capstone, you’ll location gadget-studying models into production to address a real worldwide statistics challenge.
  • At ACTE Training, we guide teachers in obtaining suitable qualifications. In addition, for each course we offer, 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

PLACED IMAGE ACTE

Course Objectives

Data science is one of the most in-demand computer science careers, with applications in almost every industry. Data scientists are the big data era's detectives, tasked with uncovering important data insights through the study of huge databases. The field of data science spans the complete data life cycle, just as a detective is responsible for uncovering clues, analyzing them, and ultimately proving their case in court. Data Science is oftentimes the best option for analysts who need to join measurable code into assembling frameworks or associate insights to electronic applications. It's likewise reasonable for the advancement of calculations, which is something that most analysts want to do.
  • Acquire a top to bottom comprehension of Data construction and Data control.
  • Comprehend and utilize direct and non-straight relapse models and grouping strategies for Data examination.
  • Get a top to bottom comprehension of administered and unaided learning models like straight relapse, calculated relapse, grouping, dimensionality decrease, K-NN, and pipeline .
  • Perform logical and specialized processing utilizing the SciPy bundle and its sub-bundles like Integrate, Optimize, Statistics, IO, and Weave .
  • Acquire aptitude in numerical processing utilizing the NumPy and Scikit-Learn bundles
The above all else prerequisite to learn Data Science (inside a month or not) is Data on coding and somewhat master productivity in some other programming language and so forth In the event that you have serviceable Data on any of one of the coding languages, you can learn Data Science better if you have knowledge in python, SQL, and other relevant tools.
  • Libraries Of Python
  • R language
  • Numpy
  • Algorithms
  • Relapse and Classifications
  • Clusters
  • Web scraping
There are numerous chances for handling a decent, and lucrative vocation, being a Certified Data Scientist proficient in different firms. It develops validity, which will assist you with filling in your profession. Data Science straightforwardly associates with engineers similarly as clients, furnishing an interface with accomplices and specialized administration. Data Science is one of the most incredible innovations to foster your professional development which has high extension later on.
    Data science is a great fit for analytical thinkers who enjoy coding and dealing with numbers. Because data scientists spend the majority of their time working on computers, it's critical for students to be proficient with a variety of coding languages. Data science is a good fit for people interested in machine learning, deep learning, and AI. Data scientists must have excellent communication skills and be able to work under pressure. Because data scientists frequently work in groups on a single project, those who are most suited to learn data science must be able to work effectively with others and have excellent organizational abilities.
    This Data Science accreditation training gives active openness to key advances including, python, Machine Learning, Tableau, Hadoop, and Spark by means of live communication with professionals, useful labs, and industry projects. This Data Science course as a team with IBM will make understudies industry prepared for Artificial Intelligence and Data Science work jobs.

Does Data Science has Scope in Future Career Growth?

You can complete your data science education online, which is a convenient and cost-effective choice. There are several popular online courses on topics ranging from programming basics like Python to advanced deep learning and artificial intelligence applications. Students can obtain certificates in specific courses or specialties, or even complete whole computer science and data science degree programs, entirely online. Data Science is an interdisciplinary region that uses clinical methods, cycles, computations, and progressions to segregate inclination and pieces of Data from violent, set up, and unstructured certifiable factors, and practice capacity and essential encounters from authentic factors all through a wide arrangement of programming regions. Data progress is related to certified factors mining, contraption considering, and enormous facts.

Mention the Tools employed in Data Science?

  • Scene
  • TensorFlow
  • BigML
  • Knime
  • RapidMiner
  • MongoDB
  • R
  • Trifacta
  • Minitab

What is value for Data Science Online Certification?

This Data Science course by ACTE will take your excursion from the essentials of R to investigating straightforward and complex datasets lastly to prescient examination and models improvement. In this Data Science utilizing course, you will figure out how to get ready Data for examination, perform complex factual investigations, make significant Data representations, foresee future patterns from Data, foster AI and profound learning models, and that's just the beginning.

Where Data Science is employed and implemented?

Machine learning and deep learning are topics that learners interested in programming self-driving cars, speech recognition, and web searches should look into. People who want to focus on data engineering will benefit from topics that explain coding languages such as Python. Beginner AI is a wonderful place to start if you're interested in learning more about machine learning and data science. Topics that teach probability theory, functions, and graphs should be considered by those who want to brush up on their math skills.

How about the average Payscale of Data Science Engineer Makes on average?

Data Science doesn't gather a similar measure of media consideration when contrasted with Data researchers, yet their normal compensation will in general be higher than the Data researcher's normal. The most significant average pay for a Data Science Engineer is $17,77,8 each year. The most minimal compensation for a Data Science Engineer in India is $12,00,50 each year.
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Overview of Data Science Certification Training in Montreal

This ACTE Course takes students through an aggressive applied learning method, allowing them to achieve unique experiences in AI and Data Science. The Data Science program in Montreal prepares students for a rewarding career in Artificial Intelligence and Data Science. Accelerate your Data Science career by enrolling in the unique Data Science master's program offered in Montreal in conjunction with IBM. Experience world-class Data Science training from a thought leader in the field on the most in-demand Data Science and Machine Learning skills. Get hands-on experience with major tools including R, Python, Tableau, Hadoop, and Spark. Become a Data Scientist specialist now.

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Key Features

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

Authorized Partners

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

Syllabus of Data Science Course in Montreal

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 Montreal

Project 1
Movie Success Prediction

This project helps to find out whether the movie is super hit or flop based on historical data of actor, actress, release date of the new movie.

Project 2
Fake Product Review Monitoring

This system will find fake reviews made by posting comments about a product by identifying the IP address with review patterns.

Project 3
Online Book Recommendation

It helps to buy the books online with a Recommendation system to increase profit and retaining buyers.

Project 4
Online Assignment Plagiarism Checker

This detector measures the similar text that matches and detects plagiarism and changes the students learning style.

Our Top Hiring Partner for Placements

    ACTE offers placement opportunities as add-on to every professional who completed our classroom or online Data Science Certification Training in Montreal. Some of our students are working in these companies listed below.

  • After completing the Data Scientist online Master's degree, you will receive ACTE Certifications for their specific Courses.
  • Placement Trainers assist students in developing resumes that meet the expectations of today's employers.
  • We have a staff of Placement Guides that help students find the greatest match for them.
  • At the end of the course, our staff leads a group discussion with the students.
  • You will be provided with best practices, as well as staff Training Certifications and better concepts.
  • We work with world-class companies like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM, and others. By placing our students in the world's leading multinational firms, the United States is at the forefront of the industry.
  • We have separate placement student sites where you will be able to access all of the interview dates and material that will be given to you.
  • After completing 75 percent of the Training route content, we have the authority to send out interview invitations and make face-to-face contact with university students.

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

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

Complete Your Course

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

Get Certified

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

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About Experienced Data ScienceTrainer

  • Our Training Trainers are highly certified experts with 12+ years of experience in their respective disciplines who work for well-known multinational businesses.
  • Because all Trainers are Training sector experts, they all have some maintenance efforts that they may employ for a variety of duties throughout Training sessions.
  • To mention a few, our instructors have worked with Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, and HCL Technologies.
  • Trainers employ the worker Referral Hiring technique to assist people in finding employment in some situations.
  • Our teachers are business experts and compassionate professionals who have created cardiac fitness programs to provide students with the finest teaching available.
  • We have received several large training prizes from well-known IT companies.

Data Science Certification Course Reviews

Our ACTE Montreal 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.

Suresh

Software Engineer

Amazing experience. I was taught by Hari sir. He holds in depth knowledge of the subject matter and covered all the important topics that are required to be a Data Scientist in just a span of 3 months. His notes are notes quite good and helpful for interviews.I am glad I took it as it gives a quick start to your career in Data Science. Thanks ACTE at Velachery

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) 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 ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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