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Data Science Certification Training in New Jersey

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  • Delivered by 9+ years of Data Science Certification Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
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29-Apr-2024
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(Class 1Hr - 1:30Hrs) / Per Session

24-Apr-2024
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27-Apr-2024
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(Class 3hr - 3:30Hrs) / Per Session

27-Apr-2024
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Best Practices on Job Oriented Modules Covered in Data Science Course in New Jersey

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.
  • START YOUR CAREER WITH Data Science Certification COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
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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 New Jersey?

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 Certification Training in New Jersey

Data Science is interdisciplinary Innovation of logical methods, strategies, calculations, and buildings for the extraction of information or bits of know-how from the information that is evaluating to information mining in particular structures, prepared or unstructured. Data Science Certification Course in New Jersey that offers you massive information of information modern skill, evaluation of information, undertaking methods of the existence cycle, acquiring of information, insightful strategies, and machine preparing. Its assets had been expected inside the field of mechanical cap potential methods, cycles, calculations, and designs to extricate Data orbits of know-how the usage of information organized or unstructured, nearly equal to information mining, in bunches of configurations.


Additional Info

Introduction To Data Science:

Data Science Training in New Jersey is an area that mixes area understanding, programming talents, and math and data understanding to extract beneficial insights from records. Machine studying algorithms are used to numbers, text, photos, video, audio, and different records to create synthetic intelligence (AI) structures that may execute jobs that might usually want human intelligence.

Even for companies with near-endless resources, scaling up records technology efforts is tough. The DataRobot AI Cloud Platform revolutionizes records technology and AI through empowering analysts, commercial enterprise users, and different technical professionals to grow to be Citizen Data Scientists and AI Engineers, in addition to growing the productiveness of records scientists. It automates time-ingesting modeling strategies that used to take in the bulk of records scientists' time and attention. DataRobot makes employer system studying greater reachable than ever earlier than through bridging the space among records scientists and the relaxation of the agency.


Why need to investigate away in Data Science?

    Data Science maintains a problem for shining undergrads who want to look at Data innovation and want to enhance their professional opportunities to deliver pinnacle-notch capacity. Data Science Certification Course in New Jersey offers the ensuing in particular;

  • Industry races aligned.
  • Online training ensures tremendous involvement.
  • Expert walking footwear may be nicely acquainted with the topic.
  • A manner to address case studies that profoundly inspects the realistic application of the principles.
  • Possibility to connect with a nearby region of professionals in Data Science.
  • Guidance of profession.
  • Feasibility of project paintings.
    • Machine Dialects Utilized In Data Science:
  • Applied math and realities for R/Python/Java.
  • Hadoopand's works of artwork information AI and Neural Organizations: SQL and NoSQL databases.
  • Expertise withinside the shape of giant obtaining Data on Keras, Pytorch TensorFlow.
  • Knowledge of innovative concepts and employers.
  • Visualizing Data.
  • Mining and evaluation of data.
  • Mixing and Control of Data.
  • Analysis and demonstrating of facts.
  • Modeling predictive.
  • Data Examination Python.

Industrial Advancements In Data Science:

1. Indeed, the cloud is being moved from Data and examination:-

At first, institutions brushed off transferring their Data carport to the cloud. One problem grows to be that the cloud turns into supposed value-primarily based totally intentions instead of for memory-stressing investigations. That is presently now no longer real anymore any longer. With the cloud time quicker, cleverer, and additional versatile, several institutions have moved their Data distribution facilities withinside the cloud this 12 months or were hybridized, for example, the usage of a cloud-basically primarily based totally overall and community warehouses.

2. Data and evaluation will expand to be fairer:-

Extra endeavors can be made to enroll in Data systems without a hitch, introducing overall display discussions for a partnership. The self-dealer insightful stuff industrial middle may even preserve to expand. We are nearly Data-adorable in our age. As institutions start to permit groups of workers at elite ranges to check and have a take a observe the Data from their workstations in addition to handheld devices, the Data have grown to be juster. Today, endeavors make use of self-dealer commercial enterprise undertaking understanding (BI) designs with propels in time and computing.

3. More simulated intelligence and ML, extra NLP robotized:-

The category of Data and demonstrating of Data can be more computerized. Thus, this may bring about substantially better and additional proper discoveries. It works with institutions to maintain up with beforehand of time of the resistance even as they could ingest the economic middle improvements early on.

4. Client Personalization Will Affirm Driver's Seat Purchasers:-

In Data innovation, commercial enterprise undertaking factors are through and through being revamped. In the accompanying 12 months, we will see extra institutions' paintings in giving their consumers a completely individualized experience at the precise possibility for the duration of a client's buying journey. With growing digitalization, clearly, purchaser personalization desires to be protected in an agency system. You want to fulfill in which your customers are. To viably alter your token, you want a "Customized Client Experience Plan" essentially depending on Data. All matters considered, a "locked-in" consumer is a glad consumer.

5. Scene Client Data Stage will maintain up with on growing:-

Client Data systems (CDP) were colossally requested, given the growing digitalization that has been seen. A CDP is a muddled Data middle factor, in which the whole element related to Data combines from Data reasserts to Data for customers. In adapting to an insignia each customer necessarily withdraws towards the rear of the Data. You can likewise furthermore suggest your impressions via the approach of a technique for perusing the Web or associating with partnerships on distinct and disconnected channels, which includes Sites, Web-primarily based totally commercial enterprise systems, and in-store encounters.


Top restrictive varieties of Data Science Certifications:

Certified Examination Professional(CAP):-

The Ensured Investigation Proficient is a supplier impartial that affirms that you are able "to expose muddled Data into prized bits of understanding and activities," this is through and big what institutions in Data Scientists are seeking out: someone with a capacity of the Data could make valid determinations and deliver an explanation to the that means of these Data elements for key partners. You want to observe and fulfill precise instances earlier than you take the CAP or the associated level NCAP tests.

Data Examiner for Cloudera Guaranteed Partner:-

The Cloudera Confirmed Partner (CCA) Data Investigator proposes your usefulness to pull and create Cloudera CDH surveys with Impala and Hive as a SQL designer. SQL's development capacities will assist you to make use of Data Scientists from the stockpile to pull, model, oversee, investigate, and paint with the same.

Data Designing Cloudera Guaranteed Proficient (CCP):-

As one of the best stressing and "stressing authentication of execution," Cloudera has an Affirmed Proficient (CCP) Data Architect's Endorsement. Those who want to accumulate CCP Data Architect want to have tremendous experience in Data engineering.

Senior Data Scientist (SDS) on the American Data Science Board (DASCA):-

The Data Science Board of America (DaSCA) as Senior Data Scientist (SDS) programming is supposed for people with five or extra lengthy durations of research and evaluation information. Understudy records of Databases, accounting pages, measurable investigations, SPSS/SAS, R, quantum structures, and item-oriented programming institutions need to be established.

Google Proficient Data Architect Confirmation:-

The GCP Accreditation for Google Proficient Data Architect is fine best for humans with long-lasting records of the Google Cloud Stage and talent withinside the presentation and management of GCP-basically primarily based replies. The take a look at will examine your talents to widen, make, stable, and positioned into effect devices turning into familiar with designs and structures for making ready Data.

Data Science Proficient Declaration:-

The Data Science Proficient incorporates Data Science Online Certification, Open-Source Instruments, Data innovation strategies, pythons, records units and SQL systems, Data evaluation, Data representation, and absolute closing Data innovation capstones.


Functions of a Data Scientist:

1. Business Understanding:-

The Data Scientist's price to the employer isn't always that measurable demonstrating may be applied to widen a format. A Data Scientist desires to gravitate towards the necessities of the partnership and investigate them to reap one's goals.

2. Energy:-

Data innovation is every piece of artwork and innovation. The Data Scientist wants to have a framework of the way wherein a fabulous solution looks. There are ample media replies. It requires tirelessness and intention to discover an appropriate desire for the proper problem.

3. Interest:-

Data innovation is surely now no longer a glittery new field, notwithstanding, disclosures are made each 12 months. Since Data Scientists always are seeking out promising instances replies to issues. This includes looking for novel and maximum superb structures of storing up and consolidating Data, preprocessing and designing capacities, or growing patterns and growing their walking events via the approach of a technique for becoming a member of programming packages and hardware.

4. Development:-

A part of the fees in Data innovation come from solutions at this factor now no longer earlier than idea approximately and executed. The number one mover benefit withinside the digital zone is credible and can make an agency or annihilate it off. Numerous new journey designs rely upon how pleasantly Data and evaluation are probably applied to provide a pristine and precise model, subsequently, Data Scientists cannot rehash what has as soon as work. You want to constantly chase after the accompanying essential component, which separates your delivery from the diverse merchandise at the gift on the marketplace.

5. Instinct:-

Albeit the mathematics careworn withinside the research is number one and demonstrated, the usage of it to decide precise commercial enterprise undertaking inconveniences is a high-quality artwork shape, as alluded to above. The Data Scientist desires to can separate pinnacle quality from now no greater so-superb analytics.


Future Extent Of Data Science :

    One of the features calling possibilities withinside the Learning Data Science Preparing in New Jersey. You may additionally have a take a observe Data Science with extra ability outcomes. With Python, R, or SQL a competitor can likewise additionally have a take a observe Data Science. Since Data innovation is a diverse calling, there are numerous calling opportunities withinside the marketplace. Upon delegated brilliance of the Data innovation manner, the essential cycle profiles are as follows,

  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Data Businesspeople
  • Creative for Data
  • Data Developers
  • Data Scientist

PayScale Of Data Scientist:

The Normal PayRange of a Data Scientist can be around $675, fifty-four to $752,656 constant with annum. Contingent to your talents and experience the pay institution changes. The volume of the Data scientists will expand vastly withinside the predetermination and the decision for Data Scientists is going to be powerful. To have a take a observe the Data Science Online Accreditation Course expertly and get the predetermined worried capacities to qualify yourself as a Data Scientist.

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Key Features

ACTE New Jersey City 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 Course in New Jersey
Module 1: Introduction to Data Science Certification with R
  • What is Data Science Certification, the significance of Data Science Certification in today’s digitally-driven world, applications of Data Science Certification, the 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 New Jersey City 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.

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About Experienced Data Science Certification Trainer

  • Our Data Science Certification Training in New Jersey City. 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 New Jersey City from recognized IT organizations.

Data Science Certification Course Reviews

Our ACTE New Jersey City 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.

Murali

Software Engineer

It is the best training institute in New Jersey. I have attended demo session for data science course. Abhijeet sir is having great problem solving knowledge. Staff are very supportive. Thank you ACTE team.

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

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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
    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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