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Data Science Certification Training in Beirut

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  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
  • You will not only gain knowledge of Data Science Certification and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
  • 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!
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Course Objectives

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

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

  • Get comfy with Python
  • Learn information analysis, manipulation, and visualization with pandas
  • Learn machine learning with scikit-learn
  • Understand machine learning in additional depth
  • Keep learning and active
With the correct qualifications, you’ll get pleasure from a bright career outlook as a knowledgeable soul. The demand for people with these skills can still increase, and people already in data science roles are bound to see their salaries increase within the future. Data scientists work at intervals in most major industries wherever growth is occurring. Not only did IBM predict the demand for data scientists would grow by 28th in 2020, however, the Bureau of Labor Statistics considers data science within the prime twenty quickest growing occupations and has projected thirty-first growth over the following 10 years.
Data science groups have folks from various backgrounds like chemical engineering, physics, economics, statistics, mathematics, research, technology, etc. You'll realize several data scientists with a bachelor's degree in statistics and machine learning however it's not a demand to be told Data Science.
The various edges of Data Science are as follows:
  • The abundance of Positions
  • An extremely Paid Career
  • Data Science is flexible
  • Data Science Makes information higher
  • Data scientists are extremely Prestigious
  • Apache Spark
  • BigML
  • D3 MATLAB
  • Excel
  • ggplot2

What are the purposes of the Data Science Certification?

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

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

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

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

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

What are the requirements for learning Data Science Certification?

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

Will Data Science requires coding background?

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

Data studies are the studies of actual responses, like natural generation, or herbal generation. Information is real, facts have real properties, and in case we are to chip away at them we need to be aware of them. Information generation consists of facts and fine signs and symptoms and signs and symptoms aren't an occasion, it is a cycle. This Data Science Training in Beirut has the interaction is to utilize facts to comprehend and see an excessive variety of severa things. Allow us to expect if you have a trouble model or explanation, and you try and approve your facts with that explanation or example. They are the functionality to reveal (or extract) the bits of understanding and patterns in the back of the facts. It is thru manner of the method of interpreting records proper right into a story. Use narrating for understanding. Furthermore, you can select an organization or repute quo deliberately with this position.


Additional Info

About Data Science:

Data Science stays a latest trouble among knowledgeable professionals and companies centered on amassing records and extracting relevant insights from it to help businesses to flourish. A huge amount of records can be beneficial to any organisation, but only if it is processed successfully. When we entered the age of big records, the decision for garages increased tenfold. Until 2010, the primary recognition changed into on developing a cutting-edge infrastructure to save those precious records, that may in the end be accessed and processed to generate corporation insights. With frameworks like Hadoop searching after the garage, the attention has now switched to processing this reality. Let's have a take a look at what records generation is and the manner it fits into the contemporary-day Beirut of big records and businesses.


Why do businesses need Data Science Online Training?

We've superior from walking with tiny collections of established records to massive mines of unstructured and semi-established records coming in from pretty some assets. When it includes processing this huge amount of unstructured records, general Business Intelligence generation falls short. As a result, Data Science includes more complex equipment for walking with top notch volumes of records from severa reasserts which include economic logs, multimedia files, marketing and marketing and advertising paperwork, sensors and equipment, and text files.


Who oversees the records generation technique?

At most associations, facts generation duties are normally supervised thru manner of method of three styles of directors: These managers collaborate with the facts generation organization to suggest the problem and growth an inquiry technique. They can be at the top of an corporation line, which include marketing and marketing, coins, ordeals, and characteristic a facts generation business enterprise reporting to them. They collaborate closely with the facts generation and IT directors to make certain that movements are communicated.

Senior IT managers are responsible for the framework and engineering in an effort to assist with facts generation duties. They are constantly scrutinizing sports activities and asset utilization to make certain that facts generation groups perform successfully and safely. They also can be held responsible for manufacturing maintenance and clean IT conditions for facts generation groups.

Administrators of facts generation These managers are in fee of the facts generation business enterprise and their regular operations. They are business enterprise manufacturers who can balance business enterprise improvement with challenge planning and tracking.


Top Qualities of a Good Data Scientist:

  • Statistical Thinking.
  • Technical Acumen.
  • Multi-modal communication abilities.
  • Curious mind.
  • Creativity.

  • Roles and Duties of records generation:

    Information generation is a ultra-modern claim to fame. It outgrew the domains of quantitative assessment and records mining. The International Council for Science in Beirut: Committee on Data for Science and Technology published the Data Science Journal in 2002. By 2008, the duration of facts researcher had emerged, and the sector took off instantly. Since then, there has been a loss of facts researchers, despite the fact that increasingly schools and universities route have all began out to provide facts generation certifications in Beirut.

    A facts researcher's responsibilities may encompass developing systems for analyzing records, making geared up records for studies, and project Investigating training, dissecting, and visualizing records, growing models with records the use of laptop languages which include Python and R, and deploying models into apps.

    The facts researcher isn't always a lone worker. The fine facts generation is completed in teams. Aside from a facts researcher, this business enterprise may encompass an corporation investigator who characterizes the trouble, a facts engineer who prepares the facts and the manner its miles accessed, an IT modeler who directs the hidden cycles and foundation, and a software program style fashion designer who converts the models or effects of the studies into applications and items.

    Responsibility:

    Predictive causal analytics – If you need a model that would anticipate the cap capacity effects of a specific occasion, later on, you need to apply prescient causal studies. Say, if you are giving cash the use of a credit score rating card, the opportunity of clients making future credit score rating installments on time consists of worry for you. Here, you can deliver collectively a model that would perform a prescient examination on the installment facts of the purchaser to foresee if the future installments can be on time desk or now no longer.

    Prescriptive analytics: If you need a model that has the belief of taking its options and the functionality to adjust it with dynamic boundaries, you need prescriptive studies for it. This genuinely new region is tied in with giving counsel. In exclusive words, it anticipates and recommends a range of recommended movements and associated effects.

    The fine model for this is Google's self-the use of vehicle, which I've already discussed. The records accumulated thru manner of method of vehicles can be used to prepare self-the use of vehicles. You can perform calculations in those records to characteristic specialists to it. This will empower your vehicle to take options like at the same time as to show, which way to take at the same time as to dial once more or accelerate.

    Machine gaining information for making predictions — If you have got value-based facts of a coins organisation and need to deliver collectively a model to decide the future pattern, then, at that point, AI calculations are the best option. This falls beneath the worldview of managed gaining information of. It is called managed because of the reality you as of now have the facts relying on which you can prepare your machines. For instance, a misrepresentation reputation model can be prepared to utilize a actual document of fake buys.

    Machine gaining information for pattern discovery — If you do now no longer recognise the boundaries on which to create forecasts, you could need to find out the hidden examples withinside the dataset to be able to make huge predictions. Because you don't have any predefined marks for amassing, this is in reality the unaided model. Clustering is a totally nicely calculation used for format revelation.

    Suppose you are walking in a telecellsmartphone organisation and you need to build up an organisation thru manner of method of setting towers in a locale. Then, at that point, you can employ the grouping technique to discover the pinnacle areas a great manner to guarantee that all of the clients gets the great sign strength. These are the fields you need if you require to expand as a Data Scientist.


    Benefits Of Data Science Online Certification Course:

    1. Microsoft Data technological know-how server abilities

    Microsoft superior the Data technological know-how server that it makes use of to keep and retrieve facts from software program software software applications that request it. It runs on all most important variations of the Windows taking walks gadget and works withinside the client software program software software and net servers. Many businesses use this particular Data technological know-how to keep and retrieve facts, so getting to know the way to have interaction with Microsoft Data technological know-how, in particular, allows you to get yourself up to speed with the server's super database.

    2. Execution abilities

    An execution plan is a visible instance of techniques a database engine executes queries, which might be requested to get right get admission to to facts. It's essential to have enough execution abilities to understand the general overall performance of a question and troubleshoot underperforming or nonfunctional ones. This capability lets you beautify and keep a database's question everyday usual overall performance, which furthermore permits businesses to preserve some distance from conventional facts everyday usual overall performance troubles.

    3. Database control

    Database control abilities make certain that you can create backups for your facts, permitting you and your business enterprise to have feasible alternatives if an preliminary database becomes damaged, out of place, or corrupted. When finding out the way to backup facts, programmers frequently pick out out from 4 alternatives: whole backup, differential, tail log, or transactional log backup. Each shape of backup fits particular desires and knowledge which one is a surely best desire for the particular facts that desires backing up is essential at the same time as running with facts.

    4. PHP abilities

    PHP is one of the most famous scripting languages used for internet net internet site on-line improvement. While getting to know it does no longer at once relate to enhancing your Data technological know-how abilities, it is but a beneficial capability to have a take a study because it will let you understand an internet internet site on-line as a whole. Programmers frequently use PHP to gather a domain and Data technological know-how to have interaction and request facts on a domain. Becoming acquainted with each this sort of languages permits a programmer to understand how an internet internet site on-line and the facts on an internet internet site on-line perform and have interaction.

    5. Data technological know-how Joins abilities

    Programmers use Data technological know-how Joins clauses to mix devices of facts the use of values which won't be an unusual area to every set. Understanding Data technological know-how Joins clauses permits you to merge facts from a couple of desk, making it plenty much less complicated to investigate numerous devices of facts that require the combination. Familiarity with Joins clauses permits quickening the technique of mixing facts and executing queries in assessment to awesome strategies, which consist of subqueries.

    6. Indexing abilities

    Database indexes have an effect on how unexpectedly a question is executed. Programmers impose order onto the proper tables of facts to permit indexes to be characteristic successfully. Ideally, this guarantees that queries fetch the desired facts in a well timed style. Poor indexing can also furthermore save you everyday usual overall performance. Once you have a take a study the motives for the use of indexes and the way to use them, incorporating them into your programming becomes a persevering technique.

    7. Related Data technological know-how gadget abilities

    Data technological know-how makes use of diverse structures to keep facts. Systems that consist of MyData technological know-how and PostgreData technological know-how have grown to be essential in presenting garages for Data technological know-how. They are open-sourced, accessible, and use the equal syntax as crucial Data technological know-how. Choosing the proper database for many of the 2 structures can also furthermore provide you with continuing entertainment of Data technological know-how. They also can assist restrict clients, control the right get admission to to and carry out touchy responsibilities.

    8. OLAP abilities

    Online Analytical Processing (OLAP) describes a shape of database that analyzes facts a whole lot quicker and in a similarly cutting-edge way than awesome databases. It gives the functionality for complicated facts primarily based totally on usual calculations. While accomplishing this capability takes time, it permits making fine you understand your commercial enterprise enterprise's facts in a miles extra centered way. However, due to actual facts and generation are continuously changing, that is a capability that calls for updating and relearning.

    9. Technical Data technological know-how facts evaluation

    Data technological know-how has had a massive effect at the advertising and advertising field. From facts evaluation and structuring to collation, this language can deal with diverse kinds of facts effectively. Data evaluation abilities make certain which you understand the behaviors and sorts of your goal audience. From this, you can marketplace merchandise to particular demographics, relying on what particular facts indicate.

    10. Managing database structure

    Windows, Apache, MyData technological know-how, and PHP (WAMP) is a software program software software stack that, at the same time as used collectively, can quicken techniques related to developing and handling net webweb webweb sites. Once you have got obtained familiarity with crucial Data technological know-how abilities, it may be essential to have a take a study this whole stack to virtually get yourself up to speed with the capabilities of your business enterprise's net webweb webweb sites and facts.


    Data Science Certification and Online Course:

    With a actual-time Database mission enjoy supplied on the end of the Data Science course, this certification states that the candidate has acquired the essential abilities to art work as a Data technological know-how Developer. Providing that Data technological know-how certificates at the side of your resume on the time of the interview aids in prioritizing your profile and allows you to get admission to pr ble professional opportunities.

    Data Science Certification Course in Toronto imparts the essential capability devices which might be required for a expert Data technological know-how Developer beneath the steering of our Real-time experts. Data Science Training in Toronto is supplied through a way of strategies of experts who've 8+ years of enjoy in the Database Development platform. The international certifications consist of – IBM Certified Database Administrator DB2, Oracle Database Certified Administrator, Oracle Certified Professional, MyData technological know-how Database Administrator, and Microsoft Data technological know-how Server database certifications.


    Modules Of Data technological know-how:

    • Databases and relationships.
    • Data technological know-how commands and query equipment are available.
    • Aggregating capabilities.
    • Sort the list via clause.
    • Tables and joins.
    • Subqueries.
    • Data manipulation.
    • Transactional control.
    • Opinions and strategies are aspects of the same coin.

    Features Of Data technological know-how:

    • Earning this Microsoft get admission to-degree certification validates your know-how of records mind carried out in Microsoft Azure records services, which include methods databases art work with PostgreData technological know-how and Miata technological know-how.
    • This certification extends past Data technological know-how to illustrate your know-how of relational and non-relational records, further to records workloads.
    • The Oracle Database Data technological know-how Certified Associate Certification validates your know-how of essential Data technological know-how mind, it's miles in particular essential while running with the Oracle Database server.
    • The certification will display your know-how of Data technological know-how, records modeling, and desk-use, amongst awesome things.
    • One certification examination should be passed.
    • IBM gives 3 Certified Database Associate Certifications for people who need to illustrate their know-how of the Informix or Db2 relational database control structures.
    • There is the best examination required for the Miata technological know-how 5.7 Database Administrator Certification a great manner to verify your know-how in Miata technological know-how, an Oracle relational database control gadget.
    • The certification will display essential Miata technological know-how know-how which incorporates installation, configuration, and tracking of the database control gadget.
    • The Postgraduate technological know-how 12 Associate Certification from EDB validates your know-how of the basics required to art work with Postgraduate technological know-how servers.
    • Postgraduate technological know-how is a relational database that with out problems scales in big organizations.

    Pay Scale Of Data technological know-how Developer:

    Structured Query Language is the corporation preferred for coping with relational databases. This necessitates command and language comprehension. The median sales offered for an entrant Database Developer in India is 60k to. 20k steady with annum. Data technological know-how Developers with mid-year revel in can earn round 30k to 650k steady with annum. Data technological know-how Developers are involved approximately what facts is inside facet the database, the way it wants to be manipulated, and what insights need to be generated. In this article, we're going to study the worldwide Data technological know-how Developer Salary and why each commercial enterprise enterprise calls for one. The now no longer unusual place earnings for a Data technological know-how Developer is 203k - 895k steady with the month.

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    Key Features

    ACTE Beirut 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.
     

    Curriculum

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

    Project 1
    Wallmart Sales Data Set

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

    Project 2
    Flipkart Classification Dataset

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

    Our Top Hiring Partner for Placements

    ACTE Beirut 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 Beirut. 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 Beirut from recognized IT organizations.

    Data Science Certification Course Reviews

    Our ACTE Beirut 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.

    Sureli

    Software Engineer

    Data Science class was really helpful in building my career. They cleared my basic concepts and helped me practice for the interviews. They made sure that I understood all the basics and prepared me for the industry. I am thankful for ACTE the staff for their efforts and determination.

    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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    Request for Class Room & Online Training Quotation

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