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Data Science Certification Training in Washington

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  • Beginner & Advanced level Classes.
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  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Affordable Fees with Best curriculum Designed by Industrial Data Science Certification Expert.
  • Delivered by 9+ years of Data Science Certification Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
  • Next Data Science Certification Batch to Begin this week – Enroll Your Name Now!

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$ 22000

$ 18000

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Upcoming Batches

27- Mar - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

29- Mar - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

25- Mar - 2023

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

25- Mar - 2023

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

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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.
  • Classroom Batch Training
  • One To One Training
  • Online 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
  • 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 Washington?

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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About Data Science Certification Training in Washington

Data Science is the interdisciplinary Development of valid techniques, systems, computations, and tendencies for the extraction of Data or portions of Data from the Data that is contrasting with Data mining in unique constructions, organized or unstructured. Data Science Affirmation Course in Washington that offers you enormous Data of Data innovative ability, appraisal of Data, challenge existence cycle, obtaining of Data, eager methodologies, and tool getting ready. Its assets had been assessed inside the subject of mechanical potential strategies, cycles, computations, and plans to dispose of Data or portions of Data via way of means of the usage of Data orchestrated or unstructured, basically indistinguishable from Data mining, in plenty of setups.

Additional Info

Introduction To Data Science:

Data Science Online Course in Washington is an interdisciplinary district that makes use of scientific methods, cycles, computations, and tendencies to isolate inclination and portions of Data from tumultuous, installation, and unstructured actual elements, and exercise knowledge and crucial encounters from actual elements at some stage in a huge series of programming regions. Data development is attached with actual elements mining, contraption pondering, and sizeable facts.

Data development is an interdisciplinary locale zeroed in on getting rid of ability from actual elements sets, which may be typically tremendous (see substantial actual elements), and the usage of the knowledge and critical encounters from actual elements to resolve troubles in a huge aggregate of programming domains. The district consolidates making plans actual elements for assessment, figuring actual elements improvement troubles, that specialize in actual elements, growing actual elements driven publications of action, and giving disclosures to inform high-degree conclusions in a huge association of programming regions. Taking the whole thing into account, it consolidates competencies from PC development, experiences, Data improvement, science, Data discernment, actual elements compromise, photo association, jumbled tendencies, dispatch, and commercial enterprise.

Why ought to I verify away in Data Science Certification?

    Data Science assist difficulty for glowing college students who want to analyze Data improvement and want to paintings on their grasp potentialities to deliver extremely good ability. Data Science Certification Course in Washington offers the following in particular;

  • Industry races aligned.
  • Online Training ensures extraordinary involvement.
  • Expert strolling footwear may be properly familiar with the topic.
  • A technique to control case studies that considerably investigates the affordable usage of the principles.
  • Possibility to sign up with community professionals in Data technology.
  • Guidance of profession.
  • Feasibility of assignment paintings.

Machine Languages Used In Data Science:

  • Applied math and actual elements for R/Python/Java.
  • Hadoopand's display-stoppers capacity synthetic intelligence and Neural Associations: SQL and NoSQL databases.
  • Expertise withinside the layout of big getting Data on Keras, Pytorch TensorFlow.
  • Knowledge of revolutionary concepts and enterprises.
  • Visualizing Data.
  • Mining and appraisal of statistics.
  • Mixing and Control of Data.
  • Analysis and displaying of facts.
  • Modeling predictive.
  • Data Assessment Python.

Industrial Progressions In Data Science:

1. For sure, the cloud is being moved from Data and assessment:-

At first, affiliations excused shifting their Data parking area to the cloud. One difficulty end up that the cloud has end up deliberate for esteem-primarily based totally on desires in preference to for memory-that specialize in examinations. That is as of now fake to any extent further anymore. With the cloud time faster, cleverer, and further flexible, diverse affiliations have moved their Data dissemination focuses withinside the cloud this 12 months or have been hybridized, for instance, using a cloud-basically primarily based totally mixture and community warehouses.

2. Data and appraisal will create to be moreover affordable:-

Additional undertakings are probably made to sign up for Data systems effortlessly, providing absolute display conversations for an organization. The self-company intelligent stuff commercial enterprise cognizance may even maintain on extending. We are basically Data-fantastic in our age. As affiliations allow groups of workers at tip-pinnacle stages to check and think about the Data from their workstations simply as handheld units, the Data have ended up greater. Today try to use self-company assignment Data (BI) plans with pushes on timetable and computing.

3. More reenacted expertise and ML, greater NLP robotized:-

The grouping of Data and showing of Data is probably greater electronic. Consequently, this may result in basically better and extra proper revelations. It works with courting to live aware about early of the obstruction even as they are able to ingest the commercial enterprise area progressions early on.

4. Customer Personalization Will Avow Driver's Seat Buyers:-

In Data improvement, assignment additives are in the end being redone. In the going with 12 months, we are able to see greater affiliations paintings in giving their consumers a totally individualized experience at the correct hazard at some point of a patron's purchasing project. With growing digitalization, obviously, purchaser personalization needs to be shrouded in an affiliation framework. You want to fulfill in which your clients are. To feasibly alternate your token, you want a "Redid Customer Experience Plan" on a totally fundamental degree ward on Data. In mild of the whole thing, a "secured" patron is a happy consumer.

5. Scene Customer Data Stage will live aware about on growing:-

Customer Data systems (CDP) have been gigantically mentioned, given the growing digitalization that has been seen. A CDP is a tangled Data area point, in which the whole lot associated with Data consolidates from Data reasserts to Data for clients. In adjusting to an logo every purchaser inevitably pulls out rearward of the Data. You can similarly, in addition, display your impressions thru the method for a method for scrutinizing the Internet or associate with institutions on diverse and separated channels, which joins Destinations, Electronic commercial enterprise systems, and in-shop encounters.

Top prohibitive forms of Data Science Online Training Certifications:

Certified Assessment Professional(CAP):-

The Guaranteed Examination Capable is a provider fair-minded that confirms that you are capable "to reveal jumbled Data into valued portions of Data and exercises," this is all around what courting in Data analysts are trying to find: a person with an ability of the Data could make true judgments and provide proof to the importance of these Data elements for key accomplices. You want to look and satisfy specific situations earlier than you are taking the CAP or the linked degree NCAP tests.

Data Inspector for Cloudera Ensured Accomplice:-

The Cloudera Affirmed Accomplice (CCA) Data Examiner proposes your comfort to pull and make Cloudera CDH critiques with Impala and Hive as a SQL fashioner. SQL's development limits will allow you to use Data analysts from the shop to pull, model, supervise, verify, and paint with the same.

Data Planning Cloudera Ensured Capable (CCP):-

As one of the first-class pushing and "that specializes in the verification of execution," Cloudera has an Attested Capable (CCP) Data Planner's Support. Individuals who want you to get CCP Data Planner to want to have huge experience Data engineering.

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

The Data Science Leading institution of America (DaSCA) as Senior Data Analyst (SDS) writing laptop applications is deliberate for humans with five or greater widespread stretches of research and appraisal capacity. Understudy Data of Databases, bookkeeping pages, quantifiable examinations, SPSS/SAS, R, quantum frameworks, aspect-oriented programming foundations need to be established.

Google Capable Data Engineer Affirmation:-

The GCP Accreditation for Google Capable Data Planner is pleasant perfect for people with strong Data of the Google Cloud Stage and capacity withinside the display and manipulate of GCP-essentially primarily based solutions. The check will inspect your capacities to extend, make, stable, and positioned into sway units getting extra acquainted with plans and tendencies for making plans Data.

IBM Data Science Capable Revelation:-

The IBM Data Science Capable encompasses Data Science Online publications, Open-Source Instruments, Data improvement methodologies, pythons, Data collections and SQL systems, Data appraisal, Data portrayal, and outright final Data development capstones.

Functions of a Data Scientist Training:

1. Business Understanding:-

The Data analyst value to the project isn't always that quantifiable showing may be used to develop an association. A Data analyst wishes to incline in the direction of the stipulations of the affiliation and inspect them to gain one's desires.

2. Energy:-

Data improvement is every a masterpiece and a development. The Data scientist wishes to have a machine of the manner wherein a mind-blowing solution looks. There are considerable media solutions. It requires enthusiasm and goal to song down an affordable selection to the right difficulty.

3. Interest:-

Data improvement is maximum now no longer a sparkling new field, regardless, exposures are made every 12 months. Since Data scientists constantly are trying to find promising state of affairs solutions to troubles. This fuses searching out novel and maximum outstanding frameworks of hiding away and mixing Data, preprocessing and making plans limits, or growing patterns and fostering their strolling occasions thru method for a method for becoming a member of programming applications and hardware.

4. Advancement:-

A part of the costs in Data development come from solutions no longer earlier than pondered and executed. The critical mover gain withinside the digital region is legitimate and can make an affiliation or demolish it off. Various new advertising journey plans depend on how agreeably Data and assessment can be used to create an immaculate and specific model, for this reason, Data scientists can not repeat what has as soon as work. You want to tirelessly pursue the going with fundamental part, which isolates your provide from the unique object at the gift on the marketplace.

5. Impulse:-

Though the math-centered withinside the exam is critical and illustrated, the usage of it to determine specific assignment bothers is an inventive paintings structure, as implied previously. The Data expert wants to can isolate the pinnacle kind from now no extra so-excellent analytics.

Future Scope Of Data Science :

    One of the features calling opportunities withinside the Learning Data Science Getting equipped in Mount View. You may also likewise test out Data Science with greater anticipated results. With Python, R, or SQL a contender can furthermore likewise take a gander at Data Science. Since Data improvement is a unique calling, there are unique calling potentialities withinside the marketplace.Upon exact beauty of the Data improvement manner, the important thing cycle profiles are as follows,

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

PayScale Of Data Scientist:

The Typical PayRange of a Data Scientist might be around $675, fifty-four to $752,656 regular with annum. Dependent upon your capacities and experience the reimbursement bunch changes. The diploma of the Data Specialist will develop exceedingly withinside the future and the decision for Data Engineer is going to be amazing. To test out the Data Science Online Accreditation Course expertly and get the foreordained worried competencies to qualify yourself as a Data Scientist.

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Key Features

ACTE Washington 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 Washington
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 Washington 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

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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 Washington. 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 Washington from recognized IT organizations.

Data Science Certification Course Reviews

Our ACTE Washington 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

The Data Science training that I took at ACTE was a great experience and gave me exposure to the corporate working environments...the mentor was amazing and guided us through the course very effectively...the ambience and hospitality is something you will never find elsewhere!!


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