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Data Science Training in Ameerpet

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25- Sep- 2023

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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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Excite Your Career Opportunities with Our Data Science Training in Ameerpet

  • We Build strategies on frameworks and technologies to develop AI clarifications and help the organization prosper.
  • The course equips you with all of the tools you'll need to succeed as a data scientist.
  • Under the guidance of expert Data Science specialists, the Data Science Course in Ameerpet at ACTE Intuition is designed to educate candidates with important skills such as Data Analytics, Machine Learning Algorithms, Data Modeling, Business Analytics, k-means clustering, and R programming.
  • We have built the Data Science Training to satisfy different industry needs, and aspirants can select from any of the following tracks to advance their career in the Data Science area.
  • Our instructors are Data Science professionals with more than 8 years of expertise.
  • Trainers provide pupils the specific attention they require and assist them with their academic need.
  • 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.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

For an assortment of reasons, the appropriate response is a reverberating YES. Digitalization is creating enormous measures of data, and the requirement for Data Science experts who can survey and concentrate significant experiences is developing, bringing about a large number of new work in the field. There is a huge hole in the organic market, bringing about an enormous number of employment opportunities and livelihoods. Data Scientists are viewed as the most important representatives available. Data Scientist professions are durable and satisfying since data creation is developing huge amounts at a time, and the interest for Data Scientists will keep on developing indefinitely.
A certification in arithmetic, insights, software engineering or Data science is required. Any designing subject with a four-year certification is adequate. You can select this course if you fulfill these conditions.
You will attend 184 hours of classroom sessions over four months in this hybrid program. For a further three months after completion, you will have access to the online Learning Management System for recorded videos and assignments. The online tasks will take a total of 150 hours to complete. Aside from that, you'll spend a month working on a real project.
  • Introduction to Python and R programming are among the subjects covered in this course.
  • Analyze exploratory data
  • Statistical Inference
  • Distribution of Probabilities
  • Visualization of Data
  • Testing Hypotheses
  • Data Exploration Learning that is supervised
  • Modeling Predictive
This is a fantastic course for newcomers. The course starts with an outline of numerical and measurable standards. Understudies are shown Python and R, two of the most broadly utilized programming dialects on the planet. On the off chance that a beginner gets acquainted with everything and chips away at cleaning the essential capacities, the individual can turn into an Data investigator. You might keep learning groundbreaking thoughts identified with Data investigation by taking on gigantic open internet-based courses (MOOCs), which can assist you with staying in front of the opposition.
Experts who might consider taking a Data Science course to additional their callings include:
  • Any proficient with consistent, numerical, and logical abilities.
  • Experts in the fields of business insight, Data warehousing, and reporting.
  • Statisticians, Economists, and Mathematicians are a wide range of statisticians.
  • Programmers of software
  • Analysts in business
  • Consultants that have practical experience in Six Sigma
  • Freshmen from any discipline with solid insightful and intelligent abilities.
  • Using a scope of apparatuses and Data examination draws near, control and break down convoluted, high-volume, high-dimensionality Data from numerous sources.
  • Throughout the improvement cycle, interprets business needs and gives arrangements inconsistent organization procedures, principles, and processes.
  • Develop business cases for R&D endeavors, and offer proficient guidance on Data science use cases and answers for item chefs, designers, engineers, and business partners.
  • Using an assortment of open-source innovations, plan profoundly adaptable dispersed systems.
  • Brief the staff on elite calculations and Python measurable tools.

What will I learn in this Data Science Training?

  • A Data Scientist's obligations and roles.
  • An association's Data is tried, evaluated, and managed.
  • Breakdown of expectation/gauge and examination utilizing various techniques
  • Techniques for sampling
  • Working with programming and frameworks that make recommendations
  • Using investigation instruments and introducing them
  • Linear and strategic relapse strategies have been utilized in the past.
  • Clustering is being utilized for analysis.

What are the Job roles for candidates with knowledge in Data Science?

  • Data Engineer
  • Data Scientist
  • Data Visualizer
  • Data Analyst
  • Business Analyst

What are the important skills you will learn from this Data Science Training in Ameerpet?

After enrolling in this Data Science course in Bangalore, you will gain the following skills:
  • Learn everything there is to know about data structure and data manipulation.
  • For data analysis, you should be able to recognize and employ linear and non-linear regression models, as well as classification approaches.
  • Learn how to use supervised and unsupervised learning models including linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline to solve problems.
  • Use the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave to perform scientific and technical computing.

What are the prerequisites to learn a Data Science Course?

Professionals who want to be successful in this Data Science Course should have the following skills:
  • Basic statistical expertise is required.
  • Any programming language requires a basic grasp.

How do I become a Data Scientist?

This Data Science course in Bangalore, designed in collaboration with IBM, will provide you with an understanding of Data Science tools and processes, allowing you to flourish in your future career as a Data Scientist. IBM and Simplilearn will provide you an industry-recognized credential attesting to your new abilities and on-the-job competence. This Data Science Training will teach you how to use R and Python, as well as Machine Learning algorithms, data reprocessing, regression, clustering, SAS data analytics, and Tableau data visualization.
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Overview of Data Science Training in Ameerpet

With the Data Science training in Ameerpet, you may advance your Data Science profession. World-class Data Science training will be provided in sessions taught by industry professionals in the most in-demand areas of Data Science and Machine Learning throughout the world. This Data Science course in Ameerpet, offered in cooperation with IBM, teaches you essential technologies including Python, Spark, Hadoop, and Tableau.

ACTE Data Science Training in Ameerpet offers quick assistance in developing and implementing solutions for businesses. You may learn how to align essential fundamental tables, manage knowledge authorization security, and govern worker knowledge inside the system by using active comes and practical examples. This might help you become a certified Data Science Training Specialist.

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Key Features

ACTE Ameerpet 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 Ameerpet
Module 1: Introduction to Data Science
  • 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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Hands on Real-Time Live Projects for Data Science Training

Project 1
Building Chatbots

This Project handles a barrage of customer queries and messages without any slowdown.

Project 2
Gender Detection Project

This project builds a system that takes a person’s image and tries to identify their age and gender.

Project 3
Driver Drowsiness Detection

It performs constantly assessing the driver’s eyes and alerting him with alarms in case the system detects frequent closing of eyes.

Project 4
Customer Segmentation

Organizations can easily structure their services and products around their customers while targeting them to drive more revenue.

Our Top Hiring Paretner for Placements

    ACTE provides placement possibilities to all students and experts who have finished our Data Science Training in Ameerpet, whether in-person or online. Many of our scholars work at the organizations listed below.
  • The ACTE Training Program maintains studio students whose accreditation is becoming. Besides, for the special route that we are venturing, we remember a route closing touch authentication.
  • Foundation provides you with environmental and company-specific special analyst experiences that will help you grow in your career.
  • Data Science Placement catapults our students to the top of the service industry by putting them in the world's most prominent global corporations (MNCs).
  • We render all-inclusive Data Science Online certification opinions for bespoke years and lists.
  • We are empowered to hold meeting calls and meet with associates in person after creating a section of the Training route curriculum.
  • Data Science Training partners may utilize to generate appealing resumes for latent partners.
  • The Employment Example is a group segment that assists students in ascertaining which program best meets their purposes.

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

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

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

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About Experienced Data Science Trainers

  • We provide well-organized courses and meetings, as well as an experienced staff of instructors.
  • Our instructors examine the students' business objectives and develop data standards for creating Contracting visual reports, dashboards, and KPI scorecards with Power BI desktop.
  • Our trainers are highly trained executives with at least ten years of experience working for big worldwide businesses.
  • Because all Instructors are professionals, the Training assistance will cover a wide variety of real-world tasks.
  • Our Data Science Instructors have been hired by Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, other Technologies.
  • Tutors can also utilize the Employee Referral Hiring procedure to help bidders get seats at their businesses.
  • Our Data Science Trainers are managed resolution professionals and organizers that have researched applications and can give the best Data Science training available.

Data Science Course Reviews

Our ACTE Ameerpet 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

I joined here for Data Science course in Ameerpet. The training here is very useful and helpful. Staff are very friendly. Placement opportunities are also very good. It is a good environment for people. I really recommend ACTE to everyone especially for those who need good start for IT career.


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 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
    • Gives
    • For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Data Science 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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