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Data Science Certification Course in Trichy

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  • Get Equipped with 11+ years of Certified Data Science Experts.
  • Learn the Several Extensive Data Science Concepts.
  • Most Unique Curriculum Outlined by Professional Data Science Tutors.
  • Support the candidates to get their Dream Job in Data Analytics.
  • Deals with 650+ Recruiting Clients for Providing the Best Interview Preparation Techniques.
  • Get Access for students Portal, Study Materials, Videos Lectures.
  • It’s a chance to Polish your career in Data Science – Enroll Your Name Now!

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Best Practices on Job Oriented Modules Covered in Data Science Course in Trichy

Learn the Consequences of Data Science Certification Training in Trichy

  • This Data Science online course provides all the essential tools and knowledge necessary to become an accomplished Data Scientist.
  • Nearly 100% student satisfaction with over 300+ batches completed successfully.
  • Learn coding in Python and use it for statistical analysis, and get familiar with the mathematics of Machine Learning.
  • Get Trained from certified trainers from highly reputed multinational companies with over several years of experience in the industry.
  • Our trainers specialize in state-of-the-art Deep Learning frameworks like Google's TensorFlowDevelop, keeping you with the current trends of the job market.
  • We teach you how to apply these skills in real life through guided online practice sessions.
  • Tie-up & MOU with over 1000+ Small & Medium Corporate Companies to Support you with Opportunities to Kick-Start & Step-up your Career.
  • Learning Concepts: Data Science, significance of Data Science in today’s digitally-driven world, components of the Data Science 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 COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
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  • One To One 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 Trichy?

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 Course in Trichy

Data science Certification Training provides you with consistent strategies, systems, computations, and developments for the extraction of Data or encounters from the Data this is identifying with Data mining in phenomenal designs, prepared or unstructured. Data Science Training in Trichy that gives you tremendous Data of creative capacity, evaluation of Data, mission lifestyles cycle, getting of Data, legitimate methodologies, and contraption planning. Its sources have been assessed withinside the discipline of mechanical capacity systems, cycles, computations, and developments to eliminate Data or encounters the utilization of Data organized or unstructured, for all intents and purposes indistinguishable from Data mining, in lots of setups.

Additional Info

Introduction To Data Science:

Data science Training is an interdisciplinary locale that uses clinical techniques, cycles, estimations, and plans to remove capacity and encounters from loud, set up and unstructured real factors, and practice expertise and huge pieces of Data from real factors all through a wide grouping of programming regions. Data development is connected with real factors mining, device considering, and immense facts.

Data development is an arrangement to tie together estimations, real factors examination, informatics, and their connected methods" to "get and investigate certifiable miracles with real factors. It uses methodology and speculations drawn from many fields inside the setting of math, bits of knowledge, PC development, Data advancement, and locale expertise. In any case, real factors development isn't comparable to PC advancement and Data advancement. Turing Award champ Jim Gray imagined real factors development as a "fourth perspective" of advancement (observational, speculative, computational, and by and by real factors pushed) and attested that "the aggregate around advancement is changing over in light of the effect of Data development" and the real factors deluge.

Data Science is an interdisciplinary district assigned at isolating expertise from real factors sets, which can be routinely tremendous (see colossal real factors) and using the fitness and critical encounters from real factors to clear up issues in a wide grouping of programming regions. The district encompasses getting ready real factors for assessment, figuring real factors advancement issues, focusing on real factors, creating real factors pushed plans, and giving revelations to tell high-stage decisions in a wide arrangement of programming regions. Consequently, it joins limits from PC development, bits of knowledge, Data advancement, number juggling, Data portrayal, real factors compromise, picture setup, perplexed developments, reports, and business.

Why should I Consider Data Science technology?

Data Science support issue for sparkling students who need to investigate Data development and need to update their master prospects to supply first-rate capacities. Data Science Course in Trichy gives the subsequent in particular;

  • Industry races aligned.
  • Online classes make certain first rate involvement.
  • Expert running shoes can be well acquainted with the topic.
  • An approach to manage case research that significantly examines the reasonable utilization of the principles.
  • Possibility to associate with neighborhood specialists in Data technology.
  • Guidance of profession.
  • Feasibility of undertaking paintings.

Programs Employed WIth Data Science:

  • Applied number shuffling and real factors for R/Python/Java.
  • Hadoopand's organizations capacity Machine Learning and Neural Networks-SQL and NoSQL databases.
  • Expertise withinside the construction of critical obtaining Data on Keras, Pytorch TensorFlow.
  • Knowledge of imaginative thought and enterprise.
  • Visualizing Data.
  • Mining and evaluation of statistics.
  • Mixing and Manipulation of Data.
  • Analysis and exhibiting of facts.
  • Modeling predictive.
  • Data Analysis Python.

Industrial Trends In Data Science:

1. Without a doubt, the cloud is being moved from Data and assessment:-

At first, affiliations excused moving their Data garage to the cloud. One issue become that the cloud becomes expected for esteem-based perspectives as opposed to memory-focusing on assessments. That is at present false any longer any more. With the cloud time faster, cleverer, and extra adaptable, various affiliations have moved their Data circulation focuses withinside the cloud this yr or had been hybridized, for instance, the usage of a cloud-fundamentally based aggregate and neighborhood warehouses.

2. Data and evaluation will create to be additional reasonable:-

Additional undertakings might be made to join Data structures easily, presenting complete show conversations for an association. The self-provider canny stuff business focus can even keep on augmenting. We are fundamentally Data-brilliant in our age. As affiliations permit the workforce at specific degrees to test and review the Data from their workstations and also hand-held contraptions, the Data have become additional reasonable. Today, attempts use self-provider undertaking understanding (BI) plans with pushes in period and computing.

3. More AI and ML, extra NLP robotized:-

The course of action of Data and showing of Data might be extra automated. Along these lines, this can bring about extensively higher and additional right disclosures. It works with relationship to stay aware of ahead of the obstruction while they can acclimatize the business community upgrades early on.

4. Customer Personalization Will Confirm Driver's Seat Consumers:-

In Data advancement, business try components are at this point being changed. In the going with yr, we can see extra affiliations address impressive expert in giving their purchasers a completely individualized revel in at the ideal chance at some stage in a customer's shopping venture. With creating digitalization, unmistakably buyer personalization wishes to be shrouded in an association framework. You need to meet wherein your customers are. To decidedly adjust your picture, you need an Altered Customer Experience Plan basically subject to Data. Taking everything into account, a secured purchaser is a cheerful consumer.

5. Scene Customer Data Platform will stay aware of on creating:-

Customer Data structures (CDP) had been enormously mentioned, given the creating digitalization that has been seen. A CDP is a puzzling Data community point, wherein the whole thing related to Data converges from Data reasserts to Data for customers. In adjusting to an image each buyer unavoidably leaves rearward of the Data. You can in like manner also demonstrate your impressions through the technique for a strategy for examining the Internet or speaking with associations on varying and separated channels, which fuses Websites, eCommerce structures, and in-save encounters.

Top sorts of Data Science Certifications:

  • Certified Analytics Professional(CAP):-

    The Certified Analytics Professional is a dealer fair-minded that confirms which you are capable "to show tangled Data into cherished pieces of Data and exercises," that is all around what relationship in Data specialists are searching for someone with the authority of the Data can arrive at rational inductions and give an explanation to the importance of those Data factors for key accomplices. You need to see and fulfill explicit conditions sooner than you're taking the CAP or the connected stage NCAP tests.

  • Data Analyst for Cloudera Certified Associate:-

    The Cloudera Certified Associate (CCA) Data Analyst prescribes your helpfulness to drag and make Cloudera CDH reviews with Impala and Hive as a SQL fashioner. SQL's improvement limits will permit you to use Data scientists from the stock to drag, model, direct, assess, and paint with the same.

  • Data Engineering Cloudera Certified Professional (CCP):-

    As one of the most limited focusing and focusing on confirmation of execution, Cloudera has a Certified Professional (CCP) Data Engineer's Certificate. The people who need to get CCP Data Engineer need to have sizeable revel in Data engineering.

  • Google Professional Data Engineer Certification:-

    The GCP Certification for Google Professional Data Engineer is quality ideal for people with strong Data of the Google Cloud Platform and expertise withinside the show and control of GCP-essentially based answers. The test will assess your capacities to extend, make, stable, and put into sway devices turning out to be more familiar with plans and developments for taking care of Data.

  • Data Science Professional Certificate:-

    The Data Science Certification Training for Professional contains Data Science Online courses, Open-Source Instruments, Data development strategies, pythons, Data indexes and SQL structures, Data evaluation, Data discernment, and outright last Data advancement capstones.

Roles And Resposibilities of a Data Scientist:

1. Business Understanding:-

The Data specialist cost to the association isn't that quantifiable showing can be used to grow a configuration. A Data scientist needs to incline toward the necessities of the organization and dissect them to gather one's goals.

2. Excitement:-

Data advancement is each a compelling artwork and a development. The Data specialist needs to have a chart of the way in which a glorious answer looks. There are copious media answers. It calls for consistent quality and objective to track down a fitting decision to the proper issue.

3. Interest:-

Data development is everything except a recently out of the plastic new field, in any case, disclosures are made each yr. Since Data specialists constantly are searching for the promising situation answers to issues. This consolidates looking out novel and most inconceivable strategies of amassing and mixing Data, preprocessing and planning limits, or creating styles and fostering their running models through strategy for a technique for joining programming programs and hardware.

4. Headway:-

Some of the costs in Data advancement come from answers now as of now not sooner than pondered and executed. The main mover advantage withinside the virtual quarter is dependable and may make an association or obliterate it off. Various new attachment undertaking plans rely on how charmingly Data and appraisal may be used to make a recently out of the plastic new and explicit model, consequently, Data analysts can't repeat what has once worked. You need to reliably pursue the going with central part, what isolates your give from the different item at this point at the marketplace.

5. Impulse:-

Although the math pushed in assessment is focal and illustrated, the use of it to decide explicit business try bothers is a masterpiece structure, as insinuated previously. The Data analyst needs to can isolate prevalent grade from now no more so-first class analytics.

Scope For Data Science in Future:

    One of the qualities calling possibilities withinside the Learning Data Science Training in Trichy. You may likewise take a gander at Data Science with extra possible results. With Python, R, or SQL a candidate can in like manner additionally examine Data Science. Since Data development is a different calling, there are different calling prospects in the marketplace.

    Upon designated marvel of the Data advancement way, the essential 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 Average PayRange of Data Engineer in Trichy will be around Rs.575,54k to Rs.652,656k unsurprising with annum. Dependent upon your capacities and revel in the compensation pack changes. The degree of the Data Scientist will grow colossally withinside the destiny and the call for Data Scientists goes to be solid. To review the Data Science Online Certification Course expertly and get the foreordained involved abilities to qualify yourself as a Data Scientist.

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Data Science Course Key Features

ACTE Trichy offers Data Science Training in more than 27+ branches with expert trainers. Here are the key features,

  • One-on-one Doubt Clearance
  • Guaranteed Course Completion
  • Suitable for Beginners & Intermediate
  • Live training with Industry Professionals
  • Completed 500+ Batches
  • Resume Building & Job Orientation Training

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 Course in Trichy
Module 1: Introduction to Data Science
  • What is Data Science, significance of Data Science in today’s digitally-driven world, applications of Data Science, elements of Data Science, components of the Data Science 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 easy mathematical operations and logic victimization R operators, loops, if statements and switch cases.
Module 2: Data Exploration
  • Introduction to data exploration, commerce and commercialism data to/from external sources, what is data exploratory analysis, data commerce, data frames, operating with data frames, accessing individual components, vectors and factors, operators, in-built functions, conditional, process statements and user-defined functions, matrix, list and array.
  • Hands-on Exercise -Accessing individual components of client churn data, modifying and extracting the results from the dataset victimization user-defined functions in R.
Module 3: Data Manipulation
  • Need for Data Manipulation, Introduction to duly package, choosing 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_fn(), sample_frac() & count() functions, obtaining summarized results with the summarize() function, Combining totally different functions with the pipe operator, Implementing sql like operations with self.

  • Hands-on Exercise -Implementing punctually to perform numerous operations for abstracting over however data is manipulated and stored.

Module 4: Data Visualization
  • Introduction to visualization, differing types of graphs, Introduction to synchronic linguistics of graphics & ggplot2 package, Understanding categorical distribution with geom_bar() function, understanding numerical distribution with geom_hist() function, building frequency polygons with geom_freqpoly(), creating a scatter-plot with geom_pont() function, multivariate analysis with geom_boxplot, univariate Analysis with Bar-plot, histogram and Density Plot, variable distribution, Bar-plots for categorical variables victimization geom_bar(), adding themes with the theme() layer, visualization with portly package & building web applications with shiny R, 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 gives package, geographic visualization with ggmap(), building web applications with shiny R.
  • Hands-on Exercise -Creating data visualization to know the client churn ratio using charts using ggplot2, Portly for importing and analyzing data into grids. You'll visualize tenure, monthly charges, total charges and alternative individual columns by victimization the scatter plot.
Module 5: Introduction to Statistics
  • Why do we want Statistics?, Categories of Statistics, Statistical applied 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 applied 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, ideas 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 match 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 straight forwarding linear model, predicting outline 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 link at intervals within the data using linear predictor functions. Implementing Linear & provision Logistics Regression in R by building model with ‘tenure’ as dependent variable and multiple freelance variables.
Module 7: Logistic Regression
  • Introduction to Logistic Regression, Logistic Regression Concepts, Linear vs Logistic regression, math behind Logistic Regression, detailed formulas, logit operate function and odds, Bi-variate logistic Regression, Poisson Regression, building straightforward “binomial” model and predicting result, confusion matrix and Accuracy, true positive rate, false positive rate, and confusion matrix for evaluating built model, threshold analysis 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 providing Logistic Regression.
  • Hands-on Exercise -Implementing prognosticative analytics by describing the data and explaining the relationship between one dependent binary variable and one or a lot of binary variables. You'll use glm() to create a model and use ‘Churn’ as the dependent variable. Module 8: Decision Trees & Random Forest
Module 8: Decision Trees & Random Forest
  • What is classification and totally 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 Naïve Bayes, Computing Possibilities, Impurity Function – Entropy, understand the ideas 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, realize 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’ because of the dependent variable and build a Random Forest with the proper of trees, victimization ROCR for performance metrics.
Module 9: Unsupervised learning
  • Introduction to association rule Mining & Market Basket Analysis, measures of Association Rule Mining: Support, Confidence, Lift, Apriority algorithm & implementing it in R, Introduction to Recommendation Engine, user-based cooperative filtering & Item-Based Cooperative 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 fascinating discoveries.
  • 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, parts of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series statistic in R, sentiment analysis in R (Twitter sentiment analysis), text analysis.
  • Hands-on Exercise -Analyzing time series of statistic data, sequence of statistic measurements that follow a non-random order to identify the nature of development and to forecast the future run values in the series.
Module 13: Support Vector Machine - (SVM) (self paced)
  • Introduction to Support Vector Machine (SVM), Data classification treatment using SVM, SVM Algorithms using mistreatment Separable and Inseparable cases, Linear SVM for characteristics margin hyperplane.
Module 14: Naïve Bayes (self paced)
  • what is Bayes theorem, What's Naïve Bayes Classifier, Classification Workflow, However Naïve Bayes classifier works, Classifier building in Simit-learn, building a probabilistic classification model using Naïve Bayes, Zero chance drawback Probability Problem.
Module 15: Text Mining (self paced)
  • Introduction to ideas 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 related to the modeling technique of Market Basket Analysis wherever you'll study about loading of data, numerous techniques for plotting the things and running the algorithms. It includes checking out what are the items that go hand in hand and thence will be clubbed together. This can be used for various real world eventualities like a supermarket shopping cart and so on.
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Get Hands-on Knowledge about Real-Time Data Science Projects

Project 1
Fake News Detection

The goal of this project is to create a real-time machine learning model determine the legitimacy of social media news.

Project 2
Forest Fire Prediction

To deal with such a calamity, a large sum of money must be spent on infrastructure, as well as control and handling.

Project 3
Road Lane Line Detection

In this project, lines placed on the road provide lane detection instructions to a human driver and detections.

Project 4
Driver Drowsiness Detection

The major goal of this project is to detect when a driver may become tired and fall asleep while driving.

Our Recruiting Partner for Placements

ACTE Trichy 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 a dedicated Placement support team that provides the necessities of Learners on Hiring.
  • After completing the Data science Online Course, we will organize the interview calls to students & prepare them for F2F synergy.
  • We are associated with TOP IT resistant companies like HCL, Wipro, Dell, HP, Accenture, Google, CTS, TCS, IBM, etc. It makes us fit to put our applicants in top MNCs across the globe.
  • Data Science Trainers assist students in developing their resume matching the current industry needs
  • Trainers instruct the students in developing their skills matching the present enterprise essentials.
  • We will schedule Mock Exams and Mock Interviews to upskill the candidates' knowledge.

Get Certified in Data Science with Industry Recognized ACTE Certificate

ACTE Data Science Training Certificate is authorized by all Worldwide Organizations and all over the globe. After completion of the entire program will provide the certificates for both the candidates and the professional instructors. Our trainers helped the candidates to get certified the other certification like CCA and CCP are the top-level proving your advanced skills and deep knowledge of Machine Learning. ACTE Data Science Certification will enhance the significance of your resume. It will lead you to a wide range of opportunities in your Career Path. This Certificate will help you to adopt new skills in the development of advanced concepts of Data Science.

Our ACTE Instructors will help the students to grab the knowledge on Other Data Science Programming and trained them to get other certification which is listed below:

  • Dell EMC Proven Professional Certification Program
  • Certified Analytics Professional
  • SAS Academy for Data Science
  • Microsoft Certified Solutions Expert
  • Cloudera Certified Associate
  • Cloudera Certified Professional - CCP Data Engineer
  • Data Science Certificate
  • Amazon AWS Big Data Certification
  • Oracle Certified Business Intelligence

  • Knowing a few algorithms well is better than knowing about many algorithms and linear regression, k-means clustering, and logistic regression well, can explain and interpret their results.
  • Most of the time, once you use associate degree formula, it'll be a version from a library. You’ll rarely be implementations SVM concepts.
  • Adopt a resource from good study books and e-learning methods according to your exam preparation.
  • Join Our ACTE Data Science Training Course get communicate with our instructors will get an idea regarding the subject and schedule the study plan for the certification exam.

With Data Science Training certificate you will hire for the following jobs:

  • Data Analyst
  • Data Engineers
  • Database Administrator
  • Machine Learning Engineer
  • Data Scientist
  • Data Architect
  • Statistician
  • Business Analyst
  • Data and Analytics Manager

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About Qualified Data Science Instructor

  • Our Data Science Training in Trichy have certified professionals with 9+ years of experience currently working employees with organizations like Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • The trainers demonstrate many live projects for the training candidates during their training sessions.
  • Tutors will insist the candidates get placed in their respective companies through Employee referral or Internal Hiring Process.
  • Our ACTE tutors are industry-experts and subject specialists who have mastered running applications Providing to them
  • Our Mentors provide our learners with valuable insights into Interview scenarios and questions, as well as thorough Interview preparation and Soft Skills in Best Data Science Certification in Trichy to the students.
  • ACTE Training Institute received prestigious awards for Data Science Training in Trichy from recognized IT industries.

Data Science Course Reviews

Our ACTE Trichy 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.

Suresh Kumar

Software Engineer

ACTE is very good platform to achieve knowledge in depth and They are providing placement for getting Job my experience and i have completed Data Science course in Trichy and ACTE was wonderful not only in terms of understanding the technology but also provides hands on practice to work on technology practically and the faculty is Extremely good and they help students in each and every way possible

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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Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE training institute 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.
  • We have 85% percent of 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 training has been built around Real Time Implementation according to the Corporate firms.
  • 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 Course At ACTE?

  • Data Science Course in ACTE is designed & conducted by Data Science experts with 10+ years of experience in the Data Science 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 batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Data Science. 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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