Data Science Course in Visakhapatnam - 100% Job Oriented Training
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Data Science Training in Visakhapatnam

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Upcoming Batches

25- Sep- 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

27- Sep- 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

30- Sep- 2023

Weekend Regular

(10:00 AM - 01:30 PM)

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

30- Sep- 2023

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

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  • In this course, you will learn to analyze data and to use machine learning techniques as well as learn statistics.
  • This section will provide students with an understanding of the roles and the skills involved in data science. Moreover, you will learn how to customize your data in such a way that it meets the needs of the target audience exactly.
  • This section is dedicated to discussing different types of data analysis. Data science projects take a variety of forms, including execution, planning, and presentation. Making the most of your data is possible by utilizing these tools and techniques.
  • You will have a deeper understanding of data science once you have completed this course. This course covers a wide range of topics including data science, data engineering, and product analysis.
  • During this course, you will learn about tools like R, Python, and the command line which are used to gather and analyze data. Market analysis and A/B testing are among the topics discussed.
  • Amazon, Square, Facebook, Microsoft, Google, and Airbnb will all be present at this year's event alongside other well-known technology companies.
  • Moreover, the course provides answers to each question and information about how they were answered. Besides preparing for exams, you will also benefit from the program at work.
  • If you're considering attending an interview, it would be beneficial if you familiarize yourself with these topics. Both theory and practical sessions will be taken.
  • Taking these courses will allow students to gain a deeper understanding of the subject matter. As part of our training programs, students are trained for job interviews, provided with employment opportunities at reputable companies, and prepared for job interviews.
  • 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.
  • Classroom Batch Training
  • One To One Training
  • Online Training
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This is How ACTE Students Prepare for Better Jobs


Course Objectives

Python is the most popular cryptographic language required in data science professions, however other programming languages such as Perl, C/C++, SQL, and Java are often required. These computer languages make preparing unstructured data sets easier for data scientists.
The average income for a data scientist is Rs 6,98,412. With only one year of experience, an entry-level data scientist can make around Rs 5,00,000 per year. Data scientists with 1 to 4 years of experience earn around Rs 6,10,811 per year.
The demand for people with these skills may continue to rise, and those now working in data science positions will almost certainly see their incomes rise in the long run. In most large businesses where growth is occurring, data scientists work in intervals. Not only did IBM anticipate that demand for data scientists would increase by 28 percent by 2020, but the Bureau of Labor Statistics places data science among the top 20 fastest expanding jobs, with a projected growth rate of 31% over the next ten years.
  • R/ Python is a programming language.
  • Extraction, transformation, and loading of data are all steps in the process.
  • Data wrangling and knowledge discovery
  • Advanced Machine Learning And Machine Learning (Deep Learning).
With an AWS certification, you'll be able to gain the following AWS jobs:
  • Operational Support Engineer.
  • Get to know Python.
  • With pandas, you can learn how to analyze, manipulate, and visualize data.
  • With scikit-learn, you can learn about machine learning.
  • Get a better understanding of machine learning.
  • Continue to learn and be active.
  • Apache Spark.
  • BigML.
  • D3 MATLAB.
  • Excel.
  • Ggplot2.
The field of data science is vast, and no one can learn it in a half year or a year. To begin, understanding Data Science necessitates the acquisition of specific abilities as well as core programming knowledge and logical equipment. In any event, this Data Science course covers a lot of ground right away, so you can put your new skills to good use right away.

What are the expectation and extent of Data Science?

What's to come is information. Data science will have a bright future in the coming years, and information researchers will also be successful in their careers. Data science has had a considerable impact in the different domains where it has been used. In addition to uprooting many current jobs, data science should extend its capabilities to a variety of industries and create new elements.

Is a Data Science certificate worth giving me a profession?

Because there is so much data in every part of clinical consideration, there is a growing demand for information scientists who can assess and extract meaningful experiences. The gap between requests is enormous, and there are several opportunities for both work and leisure. I aspired to be the top data researcher in the industry.

What are the essentials to get familiar with this Data Science training course?

Experts who want to win this course should have the following knowledge:
  • Basic factual information.
  • Any language requires basic comprehension.

What is the basis for Data Science preparation?

The educational program is usually designed on the most recent corporate requirements. Our experts provide constant live coaching to help you gain a better understanding of the subject. We prepare in a variety of ways, such as on the web, on non-weekend days, and at the end of the week. Our preparation program is various to accommodate your search timings. Because our instructors may mentor you throughout the cycle by sharing their engagement with appropriate areas progressively, our data sciences course can aid you with doing connected meetings at important MNCs.

What is the average compensation of an advanced Data Scientist?

This field of information science is said to be one of the highest-paying jobs in the country. In India, a data researcher's annual salary is estimated to be 8.2 lakh rupees. The annual salary ranges between Rs. 6 and Rs. 20 lakhs. In India, there are around 40 thousand job openings in the field of data science for various jobs. Extraordinary Learning provides the greatest data science and job circumstances in India.
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About Data Science Training Course in Visakhapatnam

The aim of the program is to prepare the technological leaders of the future. The objective of the Data Science course is to bridge the gap between fundamental science and cutting edge computational techniques. Enroll In ACTE Data Science Course with Class Room & Online Training
Most Job Oriented DataScience Modules Covered
  • R Programmming Python, SAS Artifical Intelligence
  • Deep Learning Machine Learning Statistics, Naive Bayes
  • Linear Algebra, CART Programming, Neural Networks Data Mining, Visualization
Most of the peoples need good job and good salary while, Learning data science will raise your probabilities of acquiring a good job and the well maintained career option.... The demand for a data scientist is growing day by day since there are not many experts in this field. Learning data science will provide you the chance of finding a well decent job in this market where they are particularly required right now. Data Science a highly lucrative career option.
Meanwhile, For several years data scientist has been ranked as one of the top jobs in india and around the world, in terms of pay, job demand, and satisfaction. Companies are increasingly using the data scientist title for other similar roles such as data analyst. "I think that what we're seeing is a little bit of the standardization and the professionalization of data science," "The past ten years have been a bit of the Wild West when it comes to data science.
While, demand for data science skills is growing exponentially, according to job sites. The supply of skilled applicants, however, is growing at a higher pace. It's a great time to be a data scientist entering the job market. ... "More employers than ever are looking to hire data scientists." it's a great time to be a data scientist entering the job market. That's according to recent data from job sites Indeed and Dice.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings in data science. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
Data science is a good field, skilled data science are some of the most sought-after professionals in the world. Because the demand is so high and strong, and the supply of people who can truly do this job well is so limited, data science is a command huge salary and excellent perks, some peoples can able even at the entry level. Many companies also label data analysts as information scientists. This classification typically involves working with a company’s proprietary database.
So coming to this there are not a great different. Data Science is the field that comprises of everything that related to data cleansing, data mining, data preparation, and data analysis. Big Data refers to the vast volume of data that is difficult to store and process in real-time. This data can used to analyse insights that can lead to better decision making. Data Science algorithms are used in industries such as internet searches, search recommendations, advertisements.
Analysts and researchers have been around long before big data, which is why data analyst roles are well defined. Data analysts do not need to have advanced coding skills, but have experience with analytics software, data visualization software, and data management programs.
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.
Data science Is giving world wide job opporutunites Data science remains to be one of the best jobs in 2020. According to McKinsey, the US will be facing a shortfall of 250,000 data scientists by 2024. Though the jobs market is in constant change, a data scientist job still hits the top list. If you are interested in learning data science, that's awesome. With more and more things being driven by data we need more people to understand what's needed to produce successful and safe data science machine learning projects. ... Data science is totally worth doing.
Data Scientists Have a great future. Research shows 94 percent of data science graduates have gotten jobs in the field since 2011. One of the indicators that data science careers are well suited for the future is the dramatic increase in data science job. The demand for a data science is growing day by day since there are not many experts in this field. Learning data science will provide you the chance of finding a decent job and the bright future in this market where they are particularly required right now.

Top reasons to consider a career in Data science?

The potential for quantum computing and data science is huge in the future. Machine Learning can also process the information much faster with its accelerated learning and advanced capabilities. Based on this, the time required for solving complex problems significantly reduced. Companies require skilled Data Scientists to process and analyses their data. They not only analyse the data but also improve its quality. Therefore, Data Science deals with enriching data and making it better for their company

Demand for data scientists is booming and will only increase

  • The job of a data scientist has only grown more," said Andrew Flowers, an economist at Indeed, based in Austin, Texas, and author of the Indeed report. "More employers than ever are looking to hire data scientists."
  • The January report from Indeed, one of the top job sites, showed a 29% increase in demand for data scientists year over year and a 344% increase since 2013 -- a dramatic upswing. But while demand -- in the form of job postings -- continues to rise sharply, searches by job seekers skilled in data science grew at a slower pace (14%), suggesting a gap between supply and demand.
  • Similarly, data from technology job site Dice showed the number of data science job postings on its platform -- as a proportion of total posted jobs -- has increased about 32% year over year, and the site considers data science a "high-demand skill." Dice noted that the job postings are from companies in a wide variety of industries, not just tech.
  • Forrester Research analyst Brandon Purcell said demand for data scientists will only grow, as organizations increasingly rely on data-driven insights.
  • "To acquire and retain today's increasingly empowered customers, companies need to harness the insights in their data to personalize experiences at scale," Purcell said. "Data scientists are crucial in turning the massive amount of data companies capture into action. They've always been in high demand, but until recently, only large enterprises and digital natives were willing to make the significant investment. Now, almost everyone is."
  • The rise of AI and machine learning may also be a factor in the dramatic increase in demand for data scientists, Purcell said.
  • "Honestly, a lot of this is because of branding," Purcell said. "Many companies see data scientists as the key to embracing AI or machine learning, which are the hottest technologies out there."
  • Unfortunately, the reality is data scientists are only a small part of an organization's AI strategy, Purcell said. Data engineers who understand where data resides and what it contains are also necessary, as are DevOps professionals who can operationalize a machine learning model at scale.
  • The number of job postings for the related and much-talked-about skill of deep learning has more than doubled year over year, according to Dice.
Desirable, but hard-to-find data scientists sought
  • In his Indeed report, Flowers cited recruiting agency Burtch Works and data science competitions platform Kaggle, saying data scientists typically are expected to have some fluency in at least one programming language -- Python and R being the favorites.
  • Data scientists also are expected to have experience in tools like Hive, BigQuery, AWS, Spark and Hadoop, as well as training in statistical modeling, machine learning and programming.
  • Along with statistical and machine learning modeling using Python or R, Feyzi Bagirov, data science adviser at San Francisco-based B2B data insight vendor, said he's also seeing more demand for skills in SQL, NoSQL databases, Apache Spark and relational database management systems (RDBMS). SQL is a standard skill for most of the data analytics and data science openings, and most corporate data still sits on RDBMS legacy systems, Bagirov added.
  • The Indeed report noted that many data scientists' formal education is in disciplines like computer science, statistics or a quantitative social science. Of the recent data scientist candidate profiles present on Dice, 27% have a master's degree, 10% have a doctorate and 13% have a bachelor's degree.
Supply-demand gap In August 2018, LinkedIn reported that there's a shortage of 151,717 people with data science skills in the U.S., based on data from its platform. Combine that with a 15% discrepancy between job postings and job searches on Indeed, it's evident that demand for data scientists outstrips supply.
  • According to the Indeed report, data science job searches follow a somewhat seasonal pattern. In 2017 and 2018, searches peaked in April or March, which might reflect the influx of students searching for internships or soon-to-be graduates looking for first their jobs, Flowers said.
  • "After all, the job data scientist has been hyped for at least six years now, and college students majoring in computer science are on the rise," Flowers said. "But, as the growth in postings for data scientists shows, even with that boom, there potentially may not be enough skilled applicants."
  • After doing his own calculations (in true data scientist fashion -- see sidebar), Bagirov said he thinks the supply-demand gap won't close anytime soon. Academia still struggles to propagate data science, he added.
Paying for data science practitioners
  • It's no surprise, given the high demand for data scientists, that salaries for the position are also elevated. According to an annual Dice Salary Survey, the role of data scientist carries an average salary of $106,000 a year.
  • Indeed data showed the top cities for data scientists are Houston and San Francisco, with average cost-of-living-adjusted salaries of just over $120,000.
  • By comparison, the nationwide average in 2017 for computer programmers was $88,000 and $107,000 for software developers, according to the Bureau of Labor Statistics.
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Key Features

ACTE Visakhapatnam offers Data Science 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 Course in Visakhapatnam
Module 1: Introduction to Data Science with R
  • What is Data Science, significance of Data Science in today’s digitally-driven world, applications of Data Science, lifecycle 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 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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Need customized curriculum?

Hands-on Real Time Data Science Projects

Project 1
Leaf Disease Detection project

Disease in oil palm sector is one of the major concerns cause it effects the production and economy losses to Malaysia. The problem of disease that arises in oil palm plantation are.

Project 2
Customer Segmentation project

Customer segmentation is the division of customers into groups based on specific customer data and aim of segmentation is to increase sales.

Project 3
Weather Prediction project

Its primary purpose is to bring forecasters closer to the elusive goal of accuracy and opposed to subjective forecasting, an objective system.

Project 4
Human Action Recognition project

Efficient and effective representation of streamed body pose data which can be used generically for understanding and analysing the actions of the body.

Our Best Hiring Placement Partners

ACTE Visakhapatnam is certify around the world. It expands the worth of your resume and you can accomplish driving position posts with the assistance of this affirmation in driving MNC's of the world. The certificate is just given after fruitful finishing of our preparation and pragmatic based undertakings
  • We furnish project training covers topics such as group discussion, presentation skills, top interview question skills, goal setting, time management, teamwork, and resume building and which helps to place in Top Mncs.
  • ACTE preparing and position cell works with a group of devoted people and specialists who plan understudies to get the best arrangements.
  • Placement training assumes a significant part in getting down to business the profession objectives of applicants. It is the fantasy of each understudy to get set in a top association visiting their grounds for enrollment. Keeping this critical viewpoint into thought, it is understood that preparation is significant for applicants to improve their employability abilities and accomplish great position in different businesses.
  • We consistently endeavors to help applicants in seeking after their vocation objectives by securing business looking for abilities and at last to accomplish wanted work. This is refined through building a solid association among understudies, graduated class, employees and businesses.
  • Placement arrangement movement which offers each branch equivalent chance to develop for supported greatness in profession through position.
  • We offer a 100 percent placement guarantee on Data Science Certification and Industry Relevant Project Based Training.

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

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

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About Proficient Data Science Trainer

  • Our Data Science Training in Visakhapatnam. We additionally furnishes help to experts in managing their constant activities who needed support in a particular space of their work.
  • Coaches gives unified administrative and regulatory help administrations and expert training achieved more than 12+ years.
  • Training courses are planned according to the current business principles and Subsequent to training difficulty up-and-comer can go for affirmation tests.
  • ACTE tutors train their applicants on arising Data advances. Our web based training corporate training programs join the most recent hypothesis and mechanical improvements with reasonable intelligent conveyance style.
  • Trainers point is to foster learner proficient skill levels inside the hierarchical system so they are outfitted to improve exhibitions and thus address business challenges in the unique IT Organization.
  • Not only giving our excellent assistance, we have adaptable planning of Trainers, exact course material, expedient invoicing and quicker turnaround times for unexpected requests gives learner unlimited authority over all preparation and permits learner to redo the course substance to best meet every learner training needs.

Data Science Course Reviews

Our ACTE Visakhapatnam 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

Great place to learn Data Science from ACTE in Visakhapatnam. The instructor Ashish is excellent in his knowledge with respect to Data Science. I received a complete transparency in knowledge sharing from the instructor with real time scenarios problem and moreover with practical basic examples. Instructor and Institute faculties are easily accessible to guide us from scratch to the complex doubts.


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