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Data Science Certification Training in Gaziantep

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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.
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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 Gaziantep?

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 Course in Gaziantep

Our Data Science Training in Gaziantep has cutting-edge labs and infrastructure to offer you hands-on education. In addition, we offer certification education in Data Science. We have effectively taught and located plenty of our college university college students in big global groups once they have finished the Data Science Training direction. We supply 100% placement assistance to our college university college students.We offer best Training, Weekend Training, and a Fast Song Route for a laugh Data Science Training in Riyadh. Students can select out the maximum to be had adventure instances for them.

To define information Data Science knowledge and beautify information Data Science knowledge project management, start with its life cycle. The first diploma withinside the Data Science knowledge pipeline workflow is the capture: accumulating information, extracting them at the same time as necessary, and stepping into it into the device. Data warehousing, information cleansing, information processing, information staging, and information form are protected withinside the upkeep diploma.

Additional Info

Introduction of Data Science Certification :

Data processing follows and constitutes one of the information of Data Science knowledge fundamentals. It is withinside the direction of information exploration and processing that information scientists stand apart from information engineers. This diploma consists of information mining, information splendor and clustering, information modeling, and summarizing insights gleaned from the information—the techniques that create effective information. Next comes information assessment, and a similarly important diploma. Here is information on scientists' conduct exploratory and confirmatory Work, regression, predictive assessment, qualitative assessment, and text mining. This diploma is why there can be no such thing as cookie-cutter information Data Science knowledge—at the identical time as it’s completed properly.

Parts of Data Science Online Training :

Data Science” refers to a large collection of installation, semi-installation, or unstructured heterogeneous information. Databases are normally not capable of deal with such voluminous datasets. As stated earlier, the essential detail of Data Science is Data. “The big the information, the better the insights,” regularly of thumb is going. As a result, Data Science is a vital thing of the Data Science project.

Internet Exploration Results (Google):

When someone searches for something on Google, complex Machine Learning algorithms determine which can be the most relevant consequences for the search period (s). These algorithms help to rank pages such that the most relevant information is furnished to the person on the urgent of a button.

Re commendation Engine (Spotify):

Spotify is a music streaming company that is quite well-known for its cappotential to indicate tracks regular with the taste of the person. This is a splendid example of Data Science at play. Spotify’s algorithms use the information generated with the useful beneficial useful resource of using everybody over the years to check the person’s taste in music and advise him/her with similar music withinside the future. This we may additionally moreover want the industrial organization commercial enterprise organization to draw greater clients due to the fact it's far greater available for the person to use Spotify as it does not name for an entire lot of attention.

Intelligent Digital Assistants (Google Assistant):

Google Assistant, just like specific voice or text-based totally digital assistants (moreover referred to as chatbots) is one example of advanced Machine Learning algorithms located to use. These algorithms can convert the speech of someone (no matter one-of-a-type accents and languages) to text, understand the context of the text/command, and provide relevant information or perform a desired undertaking, all really with the useful beneficial useful resource of using talking to the device.

Spam Filter (Gmail):

Another key software program application software program of Data Science which we use in our normal life is the junk mail filters in our emails. These filters routinely separate the junk mail emails from the rest, effectively giving the person a far cleaner e-mail enjoy. Just just like the specific programs, Data Science is the essential detail building block here.

Abusive Content and Hate Speech Filter (Facebook):

Similar to the junk mail filter, Facebook and one-of-a-kind social media systems use Data Science and Machine Learning algorithms to ease out an abusive and age-restricted content material fabric material from the unintended audience.

Automatic Piracy Detection (YouTube):

Most films that may be likely uploaded to YouTube are real content material fabric material material material created with the useful beneficial useful resource of using content material fabric material material material creators. However, quite regularly, pirated and copied films are also uploaded to YouTube, that is their policy. Due to the sheer amount of normal uploads, it is not feasible to manually encounter and takedown such pirated films. This is in which Data Science is used to routinely encounter pirated films and cast off them from the platform.

What are the blessings of getting to know a Data Science Certification?

  • The numerous edges of Data Science are as follows
  • The abundance of Positions
  • An extraordinarily Paid Career
  • Data Science is flexible
  • Data Science Makes records better
  • Data scientists are extraordinarily Prestigious

What questions are requested in the course?

Make high quality you cover variance and desired deviation, covariance and correlation, the p-value, advise and median, hypothesis testing, and facts in your project interview preparation. As a records scientist, you may need all of these ideas, so anticipate them to go back up in project interviews as well.

What is the procedure of facts technological know-how?

Data Science is an area to test that includes extracting insights from huge portions of records via using numerous scientific strategies, algorithms, and procedures. The Data Science Process includes tiers along with discovery, records preparation, model planning, model building, operationalization, and communique of consequences.

Trends Of Data Data Science:

The project of Data Science has been growing ever due to its onset withinside the period. With time, the developing contemporary-day generation is being protected in the project. Some of such greater ultra-cutting-edge-day-day additions are listed below

Artificial Intelligence:

Machine Learning has been one of the large elements of Data Science. However, with the prolonged parallel compute capabilities, Deep Learning has been the cutting-edge-day day and one of the largest additions to the Data Science project. Computing:

Edge computing is in recent times a complicated concept and is related to IoT (Internet of Things). Edge computing locations the Data Science pipeline of information collection, delivery, and processing withinside the path of the delivery of information. This is feasible By IoT and has in recent times been brought to be a part of Data Science. Security

Security has been a number one undertaking withinside the digital space. Malware injection and the concept of hacking are quite now no longer unusualplace and all digital systems are susceptible to it. Fortunately, there were few ultra-cutting-edge-day-day Data Science improvements that workout Data Science techniques to prevent the exploitation of digital systems. For example, Machine Learning techniques have installation greater capability of detecting computer viruses or malware at the identical time as in evaluation to standard algorithms.

Skills required to turn out to be a Data Scientist:

As stated withinside the previous section, Data Science is a complex project. Hence, it requires the mastery of more than one sub-fields, which together add as a good deal because of the reality the complete facts are required to be a Data Scientist.

1. Mathematics:

The first and the most important project of declaration to become a Data Scientist is mathematics; greater mainly, Probability and Statistics, Linear Algebra, and some number one Calculus.

2. Machine Learning Frameworks:

Machine Learning is an important part of Data Science and its implementation consists of super libraries and frameworks, the facts of which can be important for any Data Scientist.

3. Programming Languages (R and Python):

While any programming language may be implemented for any logical use case, which of the path includes Data Science, R and Python are the maxima extensively used languages. Both of these languages are open source, due to this that they have a large community withinside the again of them. They have many library superiors who've Data Science in mind, and they may be sincerely smooth to verify and use. A Data Scientist can't workout session any shape of algorithmic or mathematical recordings of information without the facts of programming languages.

4. Proper Programming Environment:

Because authentic programming facts are one of the most essential requirements for Data Science, there needs to be a platform to be had to install, write, and run code. The IDE, or Integrated Development Environment, is the decision given to this platform. There are an entire lot of IDEs to pick out from, and severa have demonstrated to be mainly effective for Data Science.

5. Algorithmic Knowledge:

Even despite the fact that Data Science normally does not encompass the development and format of Algorithms like a few one-of-a-kind programs of Computer Science do, it's far from fact that important for a Data Scientist to have valid facts of Algorithms. This is because of the reality, on the save you of the day, Data Scientists are programmers who are expected to increase programs that would derive big insights from information. Having algorithmic facts we may additionally moreover want the Data Scientist to write down down down big inexperienced code, which saves on every occasion and thing and therefore is as a likely value.

Future of Data Science Certification Training :

  • Data Science is an ever-growing project and is expected to develop in a name for withinside the foreseeable future. Some of the essential detail modifications are listed below.
  • Data: With the novel boom of the era of information, the general normal not unusualplace familiar universal overall performance of the predictive algorithms is going to beautify over the years as greater information is available to draw inference upon. This phenomenon is fueled with the useful beneficial useful resource of using the boom of Social Media and IoT-based totally devices, which generate loads of greater information.
  • Algorithms: Machine Learning algorithms like Genetic Algorithms and Reinforcement Learning algorithms are expected to beautify over the years causing greater clever systems.
  • Distributed Computing: With the improvements of the blockchain generation, TPU (Tensor Processing Unit) development, and faster GPU (Graphics Processing Unit) available withinside the cloud, Data Science sees a future in which greater powerful computational hardware aids the algorithms of developing complexity.

Career Growth of Data Science Training in Gaziantep :

The 21 century is probably ruled with the beneficial aid of using the useful beneficial useful resource of using information. Data Science has grown to be an important part of many businesses and industries. It gives precious insights into purchaser behavior that may bring about prolonged conversions, greater actual market assessment for competitive advantage in pricing strategies or product development, advanced operational efficiency, and minimized risk exposure via accurate forecasting models. A records scientist is a multidisciplinary expert that works with big volumes of records to find out insights and solutions to business organization challenges. A postgraduate degree in a technical location, along with computer technological expertise or facts, is generally required of records scientists.

Data technological expertise is a super expert option. Data technological knowledge professionals are desired in nearly every field, from authorities protection to relationship apps. Millions of groups and authorities departments depend on large records to succeed and higher serve their customers. Data technological knowledge careers are in an excessive call for and this fashion will not be slowing down any time soon, if ever. If you need to interrupt the arena of records technological knowledge, there are some strategies you may put together yourself to cope with those difficult but exciting roles. Perhaps maximum importantly, you may want to have an effect on destiny employers via demonstrating your records and former paintings experience. One such manner you may bring together one's talents and experience is to pursue a complicated diploma software program in your area of interest.

Advantages Of Data Science Certification Training :

1. Increases commercial enterprise organization predictability will increase business organization commercial enterprise organization predictability will boom corporation business organization commercial enterprise organization predictability is a business organization commercial enterprise organization that invests in structuring its information, it could art work with what we call predictive assessment. With the help of the information scientists, it's far feasible to use generation collectively with Machine Learning and Artificial Intelligence to Work with the information that the industrial organization commercial enterprise organization has and, in this manner, carry out greater particular analyses of what is to go back. Thus, you develop the predictability of the industrial organization commercial enterprise organization and may make alternatives in recent times in a manner to have an effect on the future of your corporation business organization commercial enterprise organization.

2. Ensures actual-time intelligence Ensures real-time intelligence guarantees actual-time intelligence ensures real-time intelligence guarantees real-time intelligence information of scientists can Work with RPA specialists to select out out out the assets of the one-of-a-type information of their corporation business organization commercial enterprise organization and create automated dashboards, which is probably looking for the most of this information in real-time in an included manner. This intelligence is important for the managers of your business organization commercial enterprise organization to make greater accurate and faster alternatives.

3. Improves records protectionImproves information protection improves facts safety improves records safety improves information safety of the benefits of Data Science are the Work is completed withinside the region of information safety. In that sense, there can be a global of possibilities. The information scientists Work on fraud prevention systems, for example, to keep your business organization's commercial enterprise organization’s customers safer. On the opportunity hand, he can also test normal types of behavior in a business organization commercial enterprise organization’s systems to select out out out out out feasible architectural flaws.

Salaries of a Data Scientist In Gaziantep:

The Data Science project is one of the most paying jobs within side the software program application software program region. It is also the high-quality paying with the lowest amount of relevant Work enjoy on the identical time as in evaluation to a few one of a kind demanding conditions within side the software program application software program region, as installation within side the parent. A records scientist's not unusual place annual profits are . 698,412. An entry-diploma records scientist can earn around 500,000 in line with one year with an awful lot much less than one year of experience. With 1 to 4 years of experience, records scientists may additionally moreover anticipate earning about 610,811 in line with one year.
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Key Features

ACTE Gaziantep 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 Course in Gaziantep
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 Gaziantep 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 Gaziantep. 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 Gaziantep from recognized IT organizations.

Data Science Certification Course Reviews

Our ACTE Gaziantep 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

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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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