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Data Science Certification Training in Muscat

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Online Courses by Certified Experts

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

  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
  • You will not only gain knowledge of Data Science Certification and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
  • Experienced Trainers and Lab Facility.
  • IBM Data Science Certification Professional Certificate Guidance Support with Exam Dumps.
  • For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
  • Resume & Interviews Preparation Support.
  • Concepts: Data Science Certification , significance of Data Science Certification in today’s digitally-driven world, components of the Data Science Certification lifecycle, big data and Hadoop, Machine Learning and Deep Learning, R programming and R Studio, Data Exploration, Data Manipulation, Data Visualization, Logistic Regression, Decision Trees & Random Forest, Unsupervised learning, Association Rule Mining & Recommendation Engine, Time Series Analysis, Support Vector Machine - (SVM), Naïve Bayes, Text Mining, Case Study.
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Course Objectives

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

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

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

What are the purposes of the Data Science Certification?

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

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

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 With Python Training in Muscat

We Provide Python Data Science with The Best expert abilties In muscat. Our instructors painted with Python and associated technology in information technological know-how at MNC for additional years. We are privy to the goals of the organization and provide Python Data Science in greater sensible ways. Our Data Science crew with Python taking walks Experts gives Python Data Science Training, Python Data Science online Training, and the Python Corporate Training issuer withinside the Classroom sector. For each beginner, we've were given had been given advanced our curriculum so that it corresponds to the actual global requirements. Our Training is executed on weekdays or weekends, relying on the members.

ACTE Provides Data Science with Python Training in Muscat After a session with organization specialists, Data Science with Python Course in Bangalore come to be a design. The motive for doing that is due to the fact we favored to combine the subjects and strategies practiced and in a call for withinside the organization and to behavior them the use of university-sizeable pedagogy. Make our university college students greater organization-prepared, and this path is the gateway on your profession in information technological know-how.

Additional Info

Introduction of Data Science With Python Certification Course :

Python is hired as a synthetic language for information technological know-how as it includes costly gear from a mathematical or implemented math perspective. it is one of the severa motives why information scientists around the arena use Python. due to the fact the arena entered the time of huge information withinside a previous couple of a few years, the requirement for a better and monetary information garage has ended up a massive challenge. the maximum respectable of the company's victimization huge information come to be on constructing frameworks to maintain an oversized amount of information.

Then, frameworks like Hadoop were created, that helped in storing big quantities of information. With the problem of garage solved, the principle goal then shifted to the manner the information its miles kept. that is often everywhere information technological know-how got here in due to the destiny for manner and studying information. Now, information technological know-how has grown to be an essential part of all of the groups that agitate massive quantities of information. groups these days rent information scientists and specialists United Nations business enterprise groups take the information and transfer it right proper right into a pregnant resource.

Why are we able to use statistics technological expertise with Python:

1. Why can we use information technological know-how with Python:1? The programming requirements of information technological know-how need a flexible 11 through the flexible language that is straightforward to jot down down down down the code, will address the quite complex mathematical manner. Python is maximumly applicable to such requirements as it has already set up itself as a language for preferred computing moreover as scientific computing. lots of over its miles being and now no longer the use of a result in sight upgraded withinside the sort of latest addition to its superfluity of libraries geared in the direction of really great programming requirements. Below we're going to talk about such alternatives of python that make it the famous language for information technological know-how.

2. A smooth and smooth-to-discover language that achieves result in fewer lines of code than great comparable languages like R. Its simplicity conjointly makes it robust to address complex situations with stripped code and an extended way plenty a lot much less confusion on the general go with the glide of the software. It is cross-platform, consequently, the equal code works in a couple of environments and is now not the usage of want for any amendment. that creates it suitable to be accomplished in a multi-surroundings setup.

3. It executes faster than great comparable languages used for information evaluation like R and MATLAB. Its terrific reminiscence manage capability, particularly pickup makes it flexible in graciously dealing with the massive quantity of information transformation, slicing, dicing, and visualization.

4. Most importantly Python has a massive collection of libraries that can be characterized as special-motive evaluation gear. for instance – the NumPy package deal offers scientific computing and its array of goals considerably plenty a lot much less reminiscence than the same old python listing for dealing with numeric information. and consequently, the form of such programs is and now no longer the use of a result in sight developing.

5. Python has programs that might straight away use the code from great languages like Java or C. This lets in optimizing the code's ordinary usual overall performance through victimization of the triumphing code of severa languages, on every occasion, it gives a stronger result.

Tools of Data Technological Expertise With Python :

Easy to use: essential it is straightforward to apply Python is taken into consideration due to the fact the exceptional and beginner language and scholar United Nations business enterprise organization include little mystery writing abilties can also even start working on Python they don’t want to be forced to pay their maximum time on mystery writing and opportunity talents due to Python is substantially clean in comparison to opportunity programming languages like C, C + + Java. it takes plenty a lot much less implementation time due to this it is an, in addition, favorable language through all of the dad and mom in severa teams.

Scalability: Its miles ascendible as it will facilitate the help the problems that area unit now not successful of having to the bottom of through victimization each different programming languages so in comparison to a great programming language it is as quick and ascendible and loads of business organization dad and mom area unit developing used of python to increase numerous quite programs from it.

Different libraries: Python has this kind of massive quantity of inherent libraries in it that bring together it the first-rate in shape for AI and tool mastering. some of the TensorFlow libraries, sci-package deal learn, matplot, and loads of others.

Visualization: There area unit this kind of massive quantity of alternatives for visualization that area gadgets available in Python. Its library consists of matplotlib that has an effective basis approximately opportunity libraries like plot, Pandas plotting et al. that area unit inherent that area unit familiar with produce the charts graphical layouts and web-prepared plots.

Roles and Responsibilities of Data technological expertise with Python Certification Course:

1. First Stage: The first degree includes the maximum data of information, I suggest what pretty information we will be predisposed ar victimization and this reality include a massive quantity. it a way that we would want to method massive chunks of information so that you may be throughout a|in a |in a really} row or column type this method could be very difficult due to this for saving time and energy.

Usually, information Scientists aren’t furnished with information in every case. severa net scraping strategies are used for the non-public circle of relatives making plans applicable information. For information processing talents, python libraries like Scrapy and BeautifulSoup are used.

3. Third Stage: The extracted kind of information is presently capable of being present withinside the visualization type. The visualization type will every be charts, graphs. severa python libraries like Matplotlib and seaborn are maximum famous for developing graphs.

4. Fourth Stage: The subsequent step includes building superior Machine Learning fashions that require playacting superior talents like matrix operation, likelihood, and calculus. Python has the presence of top-notch libraries like Scikit-Learn that assist Machine Learning operations.

Required talents for Data technological expertise with python :

  • Zip:
  • Explained maximum truly, listing comprehensions permit you to make lists the usage of great notation. you may be capable of undergo in thoughts it as essentially a one-line for loop designed inner brackets. I take gain of listing comprehensions pretty plenty continuously as fast as doing function engineering. as an example, If I’m studying e-mail titles for junk mail detection, I’m curious to test if punctuation appears more typically in a junk mail e-mail. That’s a completely trivial challenge to perform with listing comprehensions.

  • List Comprehensions:
  • Explained maximum truly, listing comprehensions permit you to make lists the usage of great notation. you may be capable of undergo in thoughts it as essentially a one-line for loop designed inner brackets. I take gain of listing comprehensions pretty plenty continuously as fast as doing function engineering. as an example, If I’m studying e-mail titles for junk mail detection, I’m curious to test if punctuation appears more typically in a junk mail e-mail. That’s a completely trivial challenge to perform with listing comprehensions.

  • Lambda Functions:
  • Lambda's talents area unit with exceptional care effective. Yeah, you won’t use them even as you want to without difficulty a couple of columns similarly — but that’s not one aspect that occurred to the American u . s . a . more often than not, each function might probable require its now no longer unusualplace revel in the back of cleansing. Lambda talents permit you to make ‘anonymous’ talents. This suggests that you may be capable of rapidly bring together ad-hoc plays and now not the usage of want to properly define a function victimization Pythons def. With that being equal, confine in thoughts that lambdas area unit designed particularly to be one-liners — and due to this have to be used for a lot much less complicated stuff. For more superior, now no longer unusualplace revel in, you may be were given to apply everyday talents.

Frameworks of Data technological expertise with python :

  • Tensorflow:
  • TensorFlow might be a platform that comes to be created through the Google Brain Team with the most effective motive of making it truthful as a way to make Machine Learning (ML) fashions. Google makes use of it in-residence notably for evaluation and production, but, it is conjointly loose and ASCII textual content document. Its layout is flexible sufficient to permit your set up your comes-on essential processing unit, GPU, and TPU mistreatment in any language. Therefore, you will set up your comes on servers, computing device computers, cell devices (iOS and Android), and great issue devices. TensorFlow has numerous levels of abstraction to have enough coins for you the choice to choose out one which caters to your wants. one of the essential now not unusualplace genus Apis builders use is Keras – a high-diploma API that simplifies deep mastering comes and simplifies tool mastering (greater on that to follow). it is conjointly the right region for experimentation as it lets in flexibility and manipulation. You can bring together the use of the made scheme of fashions and libraries TensorFlow offers to address each type of mil Training duties regardless of their size.

  • Matplotlib:
  • Matplotlib is especially used for information intellectual photos thru plotting. Matplotlib is similar to MATLAB in phrases of software program with the gain of allowing you to software mistreatment Python that conjointly way its miles ASCII textual content document and loose. (There might be a Matplotlib module called Pyplot that features a comparable interface to MATLAB in case you would like to shift speedily) you will use Matplotlib to get histograms, bar charts, energy spectra, plots, and loads of severa intellectual image gear in a completely clean, and to be had a method. The gain of mistreatment is which you don’t need numerous lines of code to recognize that. this will flip out lovely figures in interactive environments and hardcopy codecs during platforms. it is AN item-orientated API that it makes use of to imbed 2nd plots in programs mistreatment interface toolkits.

  • Pandas:
  • Pandas might be a library it is used for statistical computation and evaluation. it is an open supply. its miles are notably used for information wrangle that explains its first-rate as fast as any fashion of information evaluation is worried. Pandas create information frames from great information shape body is a component that has rows and columns it is a lot much less complicated to discern with than information in its great uncooked forms (For instance, as fast as playacting a function like a stock comprehension).

    Benefits of Data technological expertise with python Online Training:

    1. It's as easy because it gets:

    The exceptional half of concerning mastering Python in which you are often entirely unaccustomed to programming and even though maintain closes the essential quite quick. it is a language that will become designed with 2 topics in thoughts – simplicity, and readability. These alternatives are top-notch once they have a study accomplice diploma item adjusted language with a great cappotential for drawback finding. consequently, in case you're a beginner, a Python information technological know-how path is often your stepping stone. If you are an accomplice diploma expert, it is attending to function a few essential intensity on your resume.

    2. Brief and appealing element:

    The quick and attractive detail from being clean Python code is thrown and better wanting. It takes one-1/three of the amount of Java code and one-5th of the amount of C++ code to carry out the identical challenge. the employment of now not unusualplace expressions withinside the region of variable declarations and empty residence in situ of unsightly brackets create Python code appearance better; it cuts down the tiresomeness worried in mastering a programing language. the employment of Python saves lots of a while and is a smaller quantity laborious to the mind of an information soul. Once you get the basics of Python properly inner your thoughts mastering languages like PHP or Ruby grows to be a lot much less complicated.

    3. The statistics format shouldn’t worry you:

    Python works with all great information codecs. it is the cappotential to straight away import SQL tables for your code. you may be capable of artwork with Comma Separated rate files moreover as net sourced JSON. Python request library makes it very clean to import information from numerous websites and bring together information sets. the information evaluation library for Python referred to as Pandas holds an exceptional deal of information even as not an insulating material. It strategies filtering, sorting, and showing information very rapidly.

    Data Science With Python Certification Course Role and Responsibilities:

      Data Scientist Role and Responsibilities Data scientists artwork carefully with organization stakeholders to apprehend their goals and decide how information may be used to obtain one's goals. The layout information modeling processes create algorithms and predictive fashions to extract the information the organization desires and assist have a take a study of the information and percent insights with peers. While every mission is different, the method for accumulating and studying information normally follows the beneath path:

    • Ask the proper questions to start the invention method.
    • Acquire information.
    • Process and simplicity the information.
    • Integrate and maintain information.
    • Initial information research and exploratory information analysis.
    • Choose one or more capability fashions and algorithms.
    • Measure and beautifying results.
    • Present the result to stakeholders.
    • Make changes primarily based totally on feedback.
    • Repeat the method to resolve a present-day problem.

    Certification of Data technological expertise with python Training:

    The information Science with Python certification path offers an entire precis of Python's Data Analytics gear and strategies. Learning Python might be an essential cappotential for numerous information Science roles. feat information in Python is going to be the essential detail to release your profession as an informed guy of technological know-how. The call for information Science with Python programming specialists has surged, developing this path properly applicable for members within the least levels of data. This information Science with Python path is useful for analytics specialists inclined to discern with Python, Software, and IT specialists interested in the arena of analytics, and anyone with an actual hobby in information Science.

    Payscale for Data technological expertise with python in Muscat:

    The now no longer unusualplace profits for an information person, IT with Python abilties is 610K. Visit PayScale to investigate the information of a person, its salaries through town, revel in skill, leader, and lots of. An exceedingly expert professional with a few years of revel in or who has held managerial positions can also assume incomes something from $24 lakhs and a healthful crore consistent with the year. An information analyst's pay will grow with the aid of using 50 they transition/promote from the technique allocated to them to a higher one.

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Key Features

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

Authorized Partners

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


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

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

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

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About Experienced Data Science Certification Trainer

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

Data Science Certification Course Reviews

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



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


Software Engineer

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.


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



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


Software Engineer

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

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Data Science Certification Course FAQs

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
    • Gives
    • For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Data Science Certification training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Data Science Certification Course At ACTE?

  • Data Science Certification Course in ACTE is designed & conducted by Data Science Certification experts with 10+ years of experience in the Data Science Certification domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Data Science Certification batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Data Science Certification . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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