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Data Science Course in Powai

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Learn the Consequences of Data Science Certification Training in Powai

  • 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.
  • Classroom Batch Training
  • 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
  • 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 Powai?

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 Training in Powai

The data studies are an examination of real reactions, as natural science, of innate science. Data is veritable, data has authentic properties, and on the off chance that we are to manage them we need to focus on them. Data science joins data and certain signs aren't an event, it is a cycle. This Data Science Training in Powai has the cycle is to use data to fathom and see an unreasonable number of different things. Permit us to acknowledge if you have an issue model or explanation, and you endeavor to support your data with that explanation or model. They are the ability to uncover (or separate) the pieces of information and examples behind the data. It is by deciphering information into a story. Use describing for information. Also, you can pick an association or establishment purposely with this insight.

We can in like manner describe data science as a field that courses of action with cycles and systems wherein data is removed, whether or not the data is unstructured or coordinated, from various constructions and assets. The definition and names were made as instructors, IT specialists and analysts broke down the instructive program of experiences, and they thought it better to name it as data science and a short time later as data assessment.

Additional Info

About Data Science

I would believe information science to be one, and I would discover replies to the points they are researching from one to many attempts to manage information. Taking everything into account, it is considerably more with regards to information than science. You are investigating it dependent on your own requirements, and the activity of dissecting your information, endeavoring to acquire answers or fulfill the needs of society through your information inspected, adjusted, and worked out – this is information science. You are keen on working with and adjusting data to meet your needs.

Data science is pertinent today since a great many information focuses are accessible on a solitary or single information point. We have not been worried by the absence of information. We presently have an abundance of information. Before, no calculations were characterized; right now, we have calculations. Beforehand, the program was not available to all since it was too costly, so just oodles of cash ventures could utilize it, however it is presently free and open source. Since capacity is in like manner exceptionally costly and presently accessible for a split expense, we can acquire billions of informational indexes for an extremely minimal price. Before, we don't really accept that we could store an immense measure of data.

Career Path in Data science :

Data science is at this point thought to be one of the business' most advantageous positions. Data science occupations give only signs of improvement with different openings across all spaces. As associations are dynamically busy with data science, associations are using hordes of data specialists. In any case, the fascinating opening for data science occupations appeared differently in relation to applicants is simply becoming despite the fact that India is a pioneer in mechanical preparing and research.70 percent of occupations around here at this point cover data specialists with under five years of association with an assessment in the legitimate ecosystem.

A data scientist's livelihood way is difficult for various inspirations to follow. Most organization at the medium and critical level levels with more than 10-15 years of contribution began with programming or coding tasks in light of the fact that the business was not developed enough to fuse a data scientist's task. Nevertheless, by and by things are changing, and the accompanying pages of data analysts will have an all the more clear perception of their careers.

Job Roles:

    1. Information Scientist :

    The creme de la créme is in any organization an "Information Scientist." That's the reason experts are most well known these days for this assignment. This assignment is utilized by many organizations as it is not difficult to look and apply for wannabes. For a similar reason, different organizations use assignments, for example, "business knowledge master" or "market analyst."

  • The job of an information researcher : "an extraordinary blend of capacities which can both open up information experiences and recount an awesome story through the information" is characterized by the American mathematician and PC expert DJ Patil. Information researchers likewise need to foster AI models for forecast in current work environments, discover examples and patterns in information, see information, and even pitch showcasing approaches.

  • Skillset : insights, math, information demonstrating, programming of Python or R, Extra capacities: Business abilities, Visualization/BI, show ability. Business acumen.

  • Company stepping stool : The stepping stool would resemble the accompanying for a dermatologist/IT master/market investigator. It is to be noticed, nonetheless, that associations, as per their accommodation or their corporate construction, can rename certain arrangements. A "lead information researcher" in specific associations, for instance, can be known as a "fundamental information scientist."

  • 2. Information Analyst :

    Organizations ordinarily utilize this assignment to report that more specialized information is associated with this job. A portion of its equivalent words is 'proficient examiners' or 'business analysts.

  • Role : The job of an information investigator depends on organization information, which would then be able to be utilized by the C-suite for activity. The way that your activities ordinarily change every once in a while is one more intriguing reality about information experts. Subsequently, the promoting division can be worked on by an information investigator for quite a long time, and creation might take the following one.
  • Skillset : Python or R, Tableau Data Modeling. Extra abilities: keenness of business, capability in data set, perception/BI, abilities in presentation.
  • Corporate Leader : the stepping stool of an expert/business investigator for an information examiner would resemble the accompanying. It should be noted, notwithstanding, that this name likewise offers the adaptability to move horizontally to more explicit jobs and niches.

  • 3. Information Engineer :

    Any enormous association has an information engineer as its spine. By and large, organizations recruit information specialists to channel their abilities for the improvement of programming. The Data Architect and the Quantitative Analyst are inseparable from a portion of its jobs. "

  • Role : This job requires profound information on programming abilities as an information engineer works with the center information foundation of the association. An information engineer is liable for the development of information pipes and the adjustment of the information stream in many associations, so data is gotten from the important Departments.
  • Knowledge set : the board of data set, cleaning of information, programming Python or R, Hadoop. Different capabilities: business insight, abilities in data set cleaning, perception/IB, expertise presentation.
  • Corporate lead : The professional bureaucracy would appear as though something like the accompanying for an information engineer/information draftsman/quantitative investigator. Since it is more focal and specialty to the association, side development is strange. This work is, nonetheless, the hardest to lay off for the equivalent reason.

  • 4. Business Intelligence Developer :

    A designer of business data is a sort of jack of all organizations in any association which should have a solid comprehension of the key components of examination and the IT division. The "frameworks investigator" and "AI engineer" are among his equivalent roles.

  • Role : The job of a PC researcher has a lot of covers with key components like information science, programming, and information design. This isn't simply scientific yet specialized and calls for cutting-edge information on each well-known innovation learning.
  • Skillset : programming of Pythons or R, Hadoop, demonstrating, Notebook, Github, displaying of data.Additional abilities: Accurate business, Visualization/BI
  • Career Ladder : A professional bureaucracy would look something like this for a PC engineer/framework investigator/AI engineer. Since this job is significant for practically every other area, prominently advanced and arising innovation, the parallel development in the association additionally has an incredible opportunity.

Industry Path in Data Science :

Data science permits sellers to impact our purchasing rehearses, however the significance of information assortment goes a long ways past that. Information science can improve general wellbeing by wearable trackers, which rouse individuals to take on better propensities and ready individuals to potential wellbeing challenges. Information may likewise improve analytic exactness, accelerate the finding of medicines for specific sicknesses, and even stop an infection spreading. at the point when the flare-up of Ebola infection arrives at West Africa, researchers could follow the sickness' spread and foresee the regions generally powerless against the illness. These information have been utilized to keep wellbeing authorities from getting into the world before the episode. These information helped wellbeing authorities to adapt to the flare-up and forestall a worldwide plague. In many ventures, information science has basic applications. For instance, ranchers use information for powerful food development, food providers to cut food squander and non-benefit associations to help raising support endeavors and estimate financing needs. For instance, ranchers use information to decrease food squander. Financial analyst and Freakonomics creator, said in a talk that CEOs know about the significance of Big Data however have no suitable groups available to them to play out these abilities.

"I truly still accept that consolidating joint effort with corporate enormous information and randomizing [...] will be at the core of the financial matters and other sociology." Pursuing a vocation in information science is a clever move, not just on the grounds that it is stylish and well advantageous, but since information can well be the focal point of revenue for the entire economy. In practically every work – not just in innovation – information science specialists are required. In reality, only one-half of 1,000,000 workers are utilized by the five biggest tech organizations — Google, Amazon, Apple, Microsoft, and Facebook. In any case, high level training is by and large important to get through to these generously compensated, on-request jobs. "Information researchers get high instructive capabilities 88% have something like an expert's and 46 percent have a PhD–with surprising exemptions, the significant information needed to be an information researcher is frequently emphatically taught," reports KDnuggets, a main site on the Big Data.

Data Scientists are in Constant Demand :

Schedlbauer finishes up "There is a reasonable requirement for proficient experts to comprehend a business prerequisite, to foster an information dynamic arrangement and afterward to execute that arrangement," despite the fact that work on data sciences will most likely be mechanized throughout the following 10 years. Practically all fields, from state security to dating applications, require information science specialists. To effectively serve their clients million endeavors and government offices depend on enormous information. Professions in information science are profoundly mentioned and this pattern won't before long sluggish, in case ever.There are various ways you can plan to take on these difficult however thrilling jobs assuming you need to break into the field of information science. Perhaps in particular, by exhibiting your ability and past working experience, you should persuade future laborers. One approach to fabricate these abilities and experience is to lead a postgraduate education in your field of interest.

For model, the University of Northeastern offers Masters in information science and information investigation to foster the abilities managers look for. The two projects likewise offer understudies an opportunity to take part in cooperatives and experiential learning encounters, with the goal that they can assemble commonsense experience before graduation. When factors like your own experience, interest and vocation desires are thought about, you can figure out which degree program is ideal for yourself and make the following stride in accomplishing your goals.

Advantages of Data Science :

Data science's various benefits are :

This is at the solicitation :

There is an appeal for information science. There are numerous chances for planned occupation searchers. It is Linkedin's most quickly developing position and will produce 11.5 million positions by 2026. Information Science is in this manner a profoundly employable sector.

Position plenitude :

Very few individuals have the fundamental abilities to turn into full information researchers. In examination with different areas of IT, information science is consequently less soaked. Information science is hence a very rich field and has numerous chances. Information science is profoundly mentioned, yet low in information researchers' supplies.

A very generously compensated vocation :

One of the most generously compensated positions is information science. Glassdoor reports that the normal yearly rate for information researchers is $116,100. Information Science is along these lines an extremely worthwhile professional opportunity.

Versatile information science :

Data science is utilized in various applications. It is generally utilized in the fields of medical care, banking, consultancy, and online business. Information science is a diverse field. You will subsequently get the opportunity to work in various areas.

Science of Data further develops information :

Companies are requesting that certified information scientists measure and examine their information. They dissect and work on information as well as quality. Information Science is in this way engaged with enhancing information and further developing it for its company.

Highly prestigious information researchers :

Data researchers settle on more astute business choices for organizations. Firms depend on information researchers and utilize their mastery to give their clients better outcomes. Information researchers are in this way given a significant job in the company.

No Boring Works More :

Data Science added to the robotization of repetitive exercises by various businesses. Organizations utilize chronicled information to prepare machines for rehashed undertakings. The laborious work of individuals before has been simplified.

The study of information makes more astute items :

Data science includes the utilization of AI, which has permitted industry to make better, more altered products.

For the model, online business site proposals give clients customized experiences dependent on recorded shopping. PCs have now had the option to comprehend human conduct and take dynamic dependent on data.

Save Lives Data Science :

Data science has worked on altogether in the medical care area. Beginning phase growths are simpler to identify with the advancement of AI. Numerous other wellbeing enterprises likewise use information science to help their customers.

Data Science Can Build You Better :

Data Science offers you an incredible profession, yet additionally assists you with developing yourself. You can have a demeanor that takes care of issues. Since numerous information science jobs are an extension among IT and the board, you can partake in awesome of both worlds.

Roles and Responsibilities :

    Data researchers work in close cooperation with business players to comprehend their targets and to recognize the utilization of information to accomplish these destinations. They foster cycles for information displaying, make calculations and prescient models to gather information from business necessities, dissect and share information with others. The cycle for information assortment and examination, while each venture is unique, for the most part, follows the accompanying path:

  • Ask the right questions to start the process of discovery
  • Data collection
  • Clean and process data
  • Data integration and storage
  • Initial data research and data analysis exploratory
  • Choose one or more possible algorithms and models
  • Apply techniques of data science, such as machine education, statistical modelling and artificial intelligence
  • Measuring and enhancing results
  • Present the stakeholders' final results
  • Make feedback-based adjustments
  • Repeat a new problem solving process.

Payscale :

The average earnings for data scientists are 698K INR. An enterprise scientist with less than a year of experience might expect to earn roughly Rs.500,000. Early data scientists with 1 to 4 years of experience earn 610K per year. In India, a data scientist with 5 to 9 years of expertise earns Rs.10,00,000 per year. As your expertise and talents grow, your wages as a senior data scientist in India skyrocket by more than $170,000 each year! In their early careers, data engineers earn around Rs. 7 LPA (1-4 years of experience). As they go to the mid-level, a data engineer's salary rises to Rs. 121K. (with five to nine years of experience). It is possible to make more than Rs.157,500 LPA.LPA can be made by data engineers with 15 years of work experience. And you can earn an average total compensation of Rs 900K when you are a mature and experienced data analyst, who has been in the sector or 10 to 19 years.

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Data Science Course Key Features

ACTE Powai 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.


Syllabus of Data Science Training in Powai
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, 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 Powai 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

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.

Get Certified

About Qualified Data Science Instructor

  • Our Data Science Training in Powai 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 Powai to the students.
  • ACTE Training Institute received prestigious awards for Data Science Training in Powai from recognized IT industries.

Data Science Course FAQs

Looking for great Discount Price?

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

      More Than 35% Of Developers Prefer Data Science. Data Science Is The Most Popular And In-Demand Programming Language In The Tech World.

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