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Data Analytics Certification Course In Philadelphia

19856 Ratings

Live Instructor LED Online Training

Learn from Certified Experts

  • Best Practice for interview Preparation Techniques.
  • Proficiently enlightening with trendy and real-time projects.
  • Best Practice for interview Preparation Techniques in Data Analytics.
  • Life Time Access to Self-Paced Study Materials Videos, Student’s Portal, Interview Question.
  • Extreme adequate curriculum Designed by Industrial Data Analytics Expert.
  • Delivered by 9+ years of Data Analytics Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
  • Next Data Analytics Batch to Begin this week – Enroll Your Name Now!

Fee INR 18000

INR 14000

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Training

  • Case Studies and Projects 8+

  • Hours of Training 45+

  • Placement Assurance 100%

  • Expert Support 24/7

  • Support & Access Lifetime

  • Certification Yes

  • Skill Level All

  • Language All

Get Cogitate About ACTE Data Analytics Course in Philadelphia

  • We Direct candidates to Achieve their Dream job with help of a tech career and with True Industrial training, Internship, and Practical Learning.
  • Our Experienced tutors will help Learners to understand every Point in the Big-Data-Analytics Program from Scratch to Advanced.
  • Get our expert tips on Interview preparation, mock interviews, Projects, and Career Advice to grab the trendy Job Positions on top MNC.
  • Get experience with BigData Analytics and continuously look for ways to assist their companies in getting even more from additional features.
  • There are over a million jobs in Big-Data-Analytics and you can open up the door to many different career paths.
  • Data Analytics Certification Course gives you complete knowledge of big data applications, and How to use fundamental principles used in predictive analysis.
  • With Data Analytics Certification Training you can apply for Multiple Job Roles like Data Analyst, Data Scientist, Data Science Engineer, Data Science Intern, Business Analyst, and ML Engineer.
  • We Come Up With Well Organized and Systematic Course from Beginning to Advanced to get Better Opportunities with Better.
  • Get to Learn the trending updates and Developing algorithms for the statistical analysis, key Technologies, Techniques, and Apache Spark from Experts.
  • Hands-on Experience in live project sessions and being able to approach large-scale data science Problems with creativity and initiative.
  • We Provide Real-Time Practice Lab Facilities, Instant Doubt Solving, 100% Job Assurance, and 2 Global Certifications.
  • Learning Concepts: Analytical Terminology, Analytical Methodology, Proc Print, Proc Contents, Proc Gchart, Proc Gplot, Statistical Terminology, Analyzing Categorical Data, Hypothesis, Types of Errors, Proc Sort, Proc Format, Keeping, Dropping, Renaming, Transposing, Bagging and Boosting.
  • START YOUR CAREER WITH Data Analytics CERTIFICATION COURSE THAT GETS YOU A JOB OF UPTO 5 TO 12 LACS IN JUST 60 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

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Other Categories Placements
  • Non-IT to IT (Career Transition) 2371+
  • Diploma Candidates3001+
  • Non-Engineering Students (Arts & Science)3419+
  • Engineering Students3571+
  • CTC Greater than 5 LPA4542+
  • Academic Percentage Less than 60%5583+
  • Career Break / Gap Students2588+
16-Dec-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

18-Dec-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

14-Dec-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

15-Dec-2024
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

    Hear it from our Graduate

    Course Objectives

    Becoming a Big Data specialist has several advantages, including career advancement, increased pay, more work options, and the ability to upgrade to new technology. You will also be employed by a variety of large corporations.

    Here are some of the reasons why you should enroll in Data Analytics classes

    • The Data Analytics sector is developing at a 33.5 percent compound annual growth rate (CAGR).
    • After ten years, the Data Analytics Industry will be valued at US$20 billion, with roughly 30% additional income produced by Big Data and AI technologies.
    • To collect, clean, organize, process, and analyze data from a variety of sources to extract important insights and information.
    • To find new data sources and devise strategies for better data mining, analysis, and reporting.
    • To extract data from the data warehouse, you'll need to construct SQL queries.

    You will have the abilities needed to help you achieve your ideal career after completing the Data Analytics certification course in conjunction with IBM, which includes:

    • Data Scientist/Big Data Scientist.
    • Technical Manager.
    • Program Manager.
    • Big Data/Hadoop Developer.
    • Product Engineer.
    • Big Data Lead Data Architect.
    A career in data analytics is not only a viable option, but it is also one of the most popular nowadays. A Master's in Data Analytics will help you get work in this field in a variety of sectors and firms all around the world.
    • R programming
    • Tableau Public
    • QlikView
    • RapidMiner
    • KNIME
    • Excel
    • Apache Spark
    • Splunk
    • SAS
    Data Analytics Course have no requirements, and anybody interested in pursuing a career in Data Analytics may study and advance in this subject.

    Does the Data Analyst Certification guarantee me a Job?

    Our employment aid program is designed to aid you in obtaining your ideal position. It gives you the chance to look into a variety of competitive job vacancies in the business sector and locate a well-paying position that matches your qualifications. The recruiter's requirements and your performance in the interview will always be used to make the ultimate hiring decision.

    What are the skills required to become a Big Data Analyst?

    • Big Data Expertise
    • Quantitative Aptitude Programming
    • Computational frameworks knowledge
    • Skills in data warehousing
    • Business savvy
    • Communication Capabilities

    Which organizations are employing the most Data Analytics experts?

    The following are the top firms that are looking to hire Data Analytics professionals:

    • Accenture.
    • Amazon.
    • Apple Inc.
    • Intelligence.
    • Facebook is a social media platform that allows.

    How much does a Big Data Analyst make on average?

    The average compensation for a Big Data Analyst is Rs. 6,54,438. Big Data specialists' salaries are determined by a variety of criteria, including their educational background, level of Big Data competence, years of experience, and so on. The starting wage ranges from 5 to 6 LPA, with the income increasing rapidly with experience and upskilling. Depending on the organization they work for, experienced Big Data Analysts can make up to 25 LPA.

    What steps do I need to take to become a Big Data Analyst Certification Course?

    You must satisfy the following requirements to work as a Data Analyst:

    • Obtain a Bachelor's or Master's degree in statistics, computer science, or information technology.
    • Learn the abilities needed to work as a Data Analyst.
    • Obtain experience in the field of data analytics.
    • Consider obtaining a credential from a reputable institution.
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    Overview of Data Analytics Certification Course In Philadelphia

    Data Analytics Course In Philadelphia is the consistent Data used to destroy unrefined Data for results. Various Data canny strategies and procedures have been robotized through mechanical cycles and estimations that plan with rough Data for human use. Whether or not you are a business expert or an information improvement Database head, you are a trained professional or cash-related expert who has a monster store of Data in the field of Big Data Analytics. You can expect Data drives in the event that you're a Task Director or an Undertaking Chief. Progress in colossal Data gives you an unavoidable degree in the event that you are an originator. Information Analytics is the study of examining crude datasets to determine an end with respect to the data they hold. It empowers us to find designs in crude information and draw important data from them.

     

    Additional Info

    Introduction To Data Analytics:

    Data Analytics cycles and methods might utilize applications consolidating AI calculations, reproduction, and mechanized frameworks. The frameworks and calculations work on the unstructured information for human use.

    These discoveries are deciphered and used to assist associations with understanding their customers better, examine their limited time crusades, alter content, make content procedures, and foster items. Information Analytics assist associations with augmenting market proficiency and work on their earnings.

    Data Analytics is a course of investigating crude datasets to infer an end with respect to the data they hold. Data Analytics cycles and procedures might utilize applications working on AI calculations, reenactment, and mechanized frameworks. They assist associations with understanding their customers better, break down their limited time crusades, alter content, make content methodologies, and create products.

    Data the board:-

    You need cycles to control the Datastream all through your developments and to stay aware of Data relationships before you can look at Data. You ought to moreover guarantee shocking information is gathered and amassed on central Data at the fundamental's stage ( When fundamental when it is free for use. The setting up of the Data the board program may assist with guaranteeing your alliance is in immovable appreciation about figuring everything out and managing Data.

    Mining of Data:-

    The articulation Data mining surmises the figuring everything out structure through volumes of Data to see models and connection between Data pieces. It licenses you to pick and find what is tremendous utilizing datasets. This information may then be used for evaluations and choices. These activities can be performed marvelously rapidly with the current Data mining innovation.

    Prescient assessment For Data Analytics:-

    Prescient authentic headway licenses you to survey past Data to figure future results and the potential for different results. Reliably, these movements use veritable and AI systems. More wary projections grant relationships to make better decisions and to be valuable. It licenses them to anticipate the necessities and stresses of their customers, expect future models and stay accessible.

    Artificial Intelligence:-

    Man-made care (duplicated data) is the development and usage of PC structures to imitate the satisfaction of human arrangement. Machine Language is a PC-based data sub-set immense for Data Analytics using computations that can be taken in without assistance from another individual. ML grants applications to record and outline Data to expect results without anybody evidently programming the system. An AI computation may be made on a little portrayal of Data and the development will sort out some way to deal with acquire additional Data and become more obvious over the long haul.

    Modules Included With Data Analytics :

    Since we have looked at the changing cycles related to Data assessment, the thing may be said about we see the Data Analytics gadgets to do the actually alluded to advances. In this article, we will explore 7 gadgets for Data evaluation, including a few codings to assist you with extra making appraisal.

    • Python:- It is an open-source language that is object-designed. It offers a course of action of libraries to control Data, shows Data, and model Data.
    • R:- R is a language of open source programming used overall to investigate numbers and experiences. It offers a lot of libraries to look at and imagine Data.
    • Scene:- A less irritating demonstration of information mechanical congregations for envisioning and examining. This licenses you to develop a level of visuals for instinctual Data show and declaring and dashboards for encounters and models.
    • Force BI:- Force BI is a program that offers a direct improved cutoff. It keeps a few Data sources with Data drawing in credits. Power BI offers restrictions that attract you to ask your Data demands and gain second scraps of information.
    • QlikView:- QlikView gives in-memory taking care of progress cunning examination to explore a tremendous heap of Data and use Data revelation to work with parts. It engages the openness of social Data and worked with a sharp appraisal.
    • Apache Flash:- Apache Sparkle is an open-source Data Analytics engine that uses SQL requesting and AI techniques to seclude Data unendingly and perform advanced assessments.
    • SAS:- SAS is a program for the quantifiable evaluation that can help you with disconnecting, show Data, execute SQL questions, do the irrefutable examination and make learning machines for doubts later on.

    Benefits of Data Analytics :

    • Trustworthiness and security of the Data:- Count suffering quality and security of entered Data. Coming about to entering the thing, there is no degree to contributing the Data.
    • The heads of payrolls:- Numerous assessments should be done while paying experts' compensation. The count is used to remain with the's net repayment, net bundles, rewards, and charges cash-related records.
    • Banking the pioneers:- Banks use Count for the relationship of a couple of customer accounts relatively concerning the examination of store pay. Count support works with figuring and further develops banking. Count support works with appraisal and improves banking.
    • Guideline of information across geographic areas:- Count forming PC programs is used to manage a union's Data all through the planet. The count may bring all bits of the firm together and generally do the normal appraisal. So it will be uniform, paying little respect to where a specialist of firm methodologies.
    • Simple spending plan upkeep:- Count is used for spending plan support. The count is used to interface with firms to control and work use by considering the whole spending plan delegated.
    • Straightforward recording of government structures:- GST is utilized to guarantee that all GST standards are concurred with. Responsibility Administration returns, separate charge, Tank chronicling, TDS return, and advantages are the obligation of GST.
    • Consistency concentrate on instrument:- It is a mechanical social affair for assessing. It is used for arranging normal alliance contemplates. It makes thorough conformance truly explore the beginning of the money-related year and guarantees the reliable go-through of each monetary exchange.
    • Data Remote Access:- Laborers may use the astounding customer identifier and mystery explanation to get to money-related Data at Count. Information may be recorded and gotten to through the convenience of your office or your home.
    • Speedy Admittance to Records:- Count may save in its chronicle facilitator any referencing, receipts, bills, and vouchers. With Count, any really saved papers may be gotten excessively speedy. All the charging moves may be found quickly.

    Applications Of Data Analytics :

    In basically all business locales, Data Analytics is used, we ought to examine a couple of them:

    1. Detail:- Examination of Data helps with understanding their client necessities and buying practices to measure plans, propose new things and support their business. At each season of our customer experience, they advance the store affiliation and retail activities.

    2. Clinical benefits:- Medical idea affiliations audit patient Data to give end and treatment choices never ending saving purposes. Information assessment in like manner helps in the openness of novel frameworks for clinical improvement.

    3. Creation:- The get-together business may investigate new cost saving decisions through Data assessment. You can oversee disillusioning issues.

    4. Banking:- Banking and financial affiliations use examination to see likely credit defaulting affiliations and the speed of client turnover. It also serves to rapidly see misleading exchanges.

    5. Joint endeavors:- Coordinations affiliations are making and further creating courses using their Data Analytics. This assurance, along these lines, is a cost-supportive improvement, fortunately. These were a piece of the referencing for the Data Analytics Course In Philadelphia. This blog correspondingly spins around a Walmart huge evaluation to deal with everything. Here you can see how Data Analytics s are used to assemble an association and better serve its clients.

    Advantages to Utilizing Data for Private endeavors :

    1.Decision making improves :

    Companies might utilize the data they acquire from information examination to direct their choices, prompting further developed outcomes. Information examination eliminates a ton of mystery from getting ready advertising plans, choosing what material to make, making products, and that's only the tip of the iceberg. With cutting-edge information investigation advancements, new information can be continually assembled and examined to improve your comprehension of evolving circumstances.

    2. Showcasing turns out to be more powerful :

    When organizations comprehend their clients better, they will actually want to offer to them all the more productively. Information investigation likewise gives organizations priceless experiences into how their advertising efforts work with the goal that they can calibrate them for better results.

    3. Client support improves :

    Data examination gives organizations a more profound understanding of their customers, assisting them with tweaking client experience to their requirements, offer more customization, and make better associations with them.

    4. The effectiveness of activities increments :

    Data examination will assist organizations with smoothing out their activities, save assets, and work on reality. At the point when organizations acquire a superior thought of what the crowd needs, they invest less energy creating promotions that don't meet the cravings of the audience.

    Features Of Data Analytics:

    • Utilizing gigantic Data reduces your costs : Another Tech Mixed reward article looks at how Twiddy and Friends Real home experts cut their costs by 15%. The association saw support charges for laborers for use against the customers of its various merchants. Through this cycle, the association saw and got out receipt overseeing goofs and automated assistance plans.
    • Utilizing Data widens your capability : Using mechanized improvement mechanical social affairs keeps up with your business's ability. By using contraptions like Google Guides, Google Earth, and online media, you can do different endeavors straightforwardly at your workspace without having travel costs. These contraptions save a great deal of time, as well.
    • Utilizing enormous Data deals with your studying : Use a business information instrument to evaluate your records, which can give you a significantly more clear picture of where your business stands.
    • You can fight with enormous affiliations : Using the outstandingly mechanical social affairs that affiliations do licenses you to be on a relative accomplishment. Your business ends up being more current by taking advantage of mechanical social affairs that are open for your usage.
    • Permits you to focus in on neighborhood penchants : Elite associations should focus on the close-by environment they consider. Information grants you to zero in on your close by client's propensities/unbelievable extreme aversions and tendencies incredibly more. Right when your business gets to know your customer's affinities coexisted with alone touch, you'll partake in an advantage over your obstacle.
    • Utilizing immense Data helps you with creating approaches and unwavering quality : The electronic impacts that we have behind reveal a colossal heap of comprehension into our shopping affinities, feelings, etc This Data grants relationship to tailor their things and relationship to decisively what the customer needs. An electronic impact is had behind when your customers are examining on the web and introducing through internet-based media channels.
    • Utilizing goliath Data promises you enroll the right informed authorities : Enlisting affiliations can channel up-and-comer's resumes and LinkedIn profiles for explanations that would figure out with the customary approach of responsibilities. The picking framework is currently not set up on what the candidate takes after on paper and how they concur.

    Types Of Data Analytics:

    • Descriptive Analytics - Describes the happenings after some time, for example, regardless of whether the number of perspectives expanded or diminished and whether the current month's deals are superior to the last one.
    • Diagnostic Analytics - Focuses on the justification for the event of any occasion. It requires speculating and includes a much different dataset. It looks at information to respond to questions, for example, the climate sway the selling of lager or Did the new advertisement system influence sales.
    • Predictive Analytics - Focuses on the occasions that are relied upon to happen in the short term. Prescient examination attempts to discover replies to questions like, what befallen the deals in the last sweltering summer season? The number of climate figures expects the current year's sweltering summer?
    • Prescriptive Analytics - Indicates a game plan. In the event that the shot at a warm summer determined as the normal of the five climate models is above 58%, an evening movement can be added to the distillery, and an extra tank can be leased to amplify the production.

    Roles And Responsibilities of Data Analyst :

    • Your job will be to recognize key data and abilities that teachers need in the homeroom, to execute projects to share that data and foster those abilities across your locale, and to participate in pre-discharge content turn of events and assessment and foster Delivery.
    • Readiness materials to empower Instructors to rapidly learn new courses.
    • In your area, you will work intimately with the teachers and with different partners, to persistently further develop conveyance quality and specialized depth.
    • You will be relied upon to coach, uphold and evaluate the abilities of teachers at all levels and all phases of their careers.
    • To be effective in this position, you should be profoundly energetic, imaginative, have direct experience conveying specialized preparation in Philadelphia to students, and have a shown capacity to work on complex topics.
    • Payscale in Data Analyts:

      Data Analyst has become one of the world's most prominent occupations. As shown by the compensation of Data, the master is significantly more principal than various specialists pulled in with programming. This line is particularly clear in the light of how all-around ready and reestablished pay for Data experts in India is directly or by thought subordinate. The normal pay for Data specialists is $698,48 dependably. A Data specialist toward the starting level has under 1 year's experience and may get around $50065 dependably. Information base experts with 1 to 4 years of association show up at a standard yearly score of 610,81k. A moderate Data inspector with five to nine years' experience pays $4,08245 each year.

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    Key Features

    ACTE Philadelphia offers Data Analytics 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) Philadelphia.

     

    Curriculum

    Syllabus of Data Analytics Course in Philadelphia
    Module 1
    • Introduction to Data Science
    • Analytical Terminology, Analytical Methodology
    • Introduction to SAS, R, R-studio interface
    • Data Collection, Creating Datasets
    • Reading Data From External Files (.Txt, .Xls, .Csv) — Tasks
    • Data Exploration: Proc Print, Proc Contents —Tasks
    • Data Exploration: ProcGchart, ProcGplot —- Tasks
    • Data Exploration: Statistical Terminology
    • Data Exploration: Understanding Probability
    • Data Exploration : Analyzing Categorical Data (ProcFreq) — Tasks
    • Data Exploration : Hypothesis, Types of Errors
    • Data Preparation: Arranging the data: Proc Sort, Proc Format-Tasks
    • Data Preparation: Keeping, Dropping, Renaming, Transposing
    • Data Preparation: Using SAS Functions — Tasks
    • Data Preparation: Conditional Processing, By group Processing -Tasks
    • Data Preparation: Combining Data sets — Tasks
    • Data Preparation: Do-Loops, Arrays
    • Statistics: ProcFreq
    • Statistics: ProcTtest, ProcAnova
    • Proc Npar1way
    Module 2
    • Data Mining: Introduction
    • Introduction to Regression: ProcCorr, ProcReg
    • Dimensionality Reduction Techniques: Proc Factor
    • Dimensionality Reduction Techniques: ProcPrincomp
    • Dimensionality Reduction Techniques: ProcDiscrim
    • Clustering: Introduction
    • Clustering case study — Task
    • Association Rules — Introduction
    • Association Rules — Case study: Task
    • Density Estimation: Proc KDE
    Module 3
    • ProcReg: Case study — Task
    • ProcReg: Model Diagnostics — Task
    • Introduction to Logistic Regression
    • Proc Logistic -Case study, — Task
    • Introduction to Decision Trees
    • ProcDtree, Case study — Task
    • Introduction to SVM, Naive Bayes, Case study
    • Introduction to Neural nets,
    • Neural Nets – the Case study
    • Introduction to KNN, Case study — Task
    • Introduction to Bagging and Boosting
    • Ensemble methods Case study
    • Reinforcement Learning
    Module 4
    • Introduction to Time series
    • Proc Arima — Case study — Task
    • Introduction to Text Analytics
    • Sentiment Analysis in R — Case study
    • Introduction to Optimization
    • Optimization — Case study
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    Hands-on Real Time Data Analytics Training Projects

    Our Engaging Hiring Partners for Placements

    ACTE Data Analytics Philadelphia attains for Methods, Applicability, and Products, Data Analytics. Human resource software administration, database management, and business training are generally included. Data Analytics Placement opportunities is available as a stand-alone course. as add-on to every student / professional who completed our classroom or online training. Some of our applicants are working in these companies listed below.

    • We've partnered with over 1000+ small and large businesses to provide you with opportunities to kick-start and advance your career in HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our applicants in top MNCs across the world
    • We give unique student placement portal where you will find all of the interview schedules and be notified via email.
    • After successful completion of the training, ACTE provides F2F interaction, interview preparation and 100% placement help to qualifying applicants.
    • Data Analytics Trainers assist students in developing their resume matching the current industry needs
    • ACTE's Data Analytics Certification Training is crafted by industry specialists to satisfy industry standards.
    • We will schedule Mock interviews and group discussions were held every week to find out the GAP in Candidate Knowledge

    Get Certified By Data Analytics & Industry Recognized ACTE Certificate

    All massive international firms across the world accredit ACTE Certification. Freshers as well as corporate trainees can leverage the power of our services after the fulfillment of the theoretical and practical sessions with us. Business success depends on the use of data and Data Analytics. Data initiatives can be difficult to implement without the correct team and expertise. This is evident in the growing demand for big data and analytics skills and certifications.

    Our accreditation at ACTE is known worldwide. We are a member of the American Committee on School Leaders. This certification elevates the value of your resume and can help you land a position at one of the world's major MNCs. Only after graduating from our Data Analytics undergraduate website and practical-based studies will you be awarded a certification.

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

    • Google Data Analytics: Google.
    • Big Data Essentials: HDFS, MapReduce and Spark RDD: Yandex.
    • Foundations for Big Data Analysis with SQL: Cloudera.
    • Introduction to Big Data: University of California San Diego.

    • This certification is designed to test the skills of individuals who can manipulate and gain insights from big data with a variety of SAS and open-source tools, make business recommendations with complex Machine Learning models, and then deploy models at scale using the flexible and robust SAS environment.
    • Join Our ACTE Data Analytics Training Course get communicate with our instructors will get an idea regarding the subject and schedule the study plan for certification exam.
    • You can prepare for the certification exam by taking Data Analyst Training, a data analyst course designed for teaching students how to access, manipulate, transform and analyze massive data sets in the Hadoop cluster using SQL and familiar scripting languages.
    • Our ACTE Instructors will help the students to grab the knowledge on Other Data Analytics Course and trained them to get other certification which is listed below:

    You will get hired for the following positions if you have a Data Analytics certificate

    • Data Engineer: Big Data
    • Associate Director - Data Analytics
    • Big Data Analyst
    • Senior Engineer - Big Data
    • Big Data Developers

    The Learners Can Adopt the Other Data Analytics Certifications:

    • EMC Data Science and Data Analytics Certification : $2235
    • SAS Certified Big Data Professional Using SAS 9 : $850

    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

    Concerning Qualified Data Analytics Trainer

    • Our Data Analytics Training in Philadelphia. Real-time Certified Professionals with 9+ years of programming and coding experience in their respective domain as well as they are currently working with Top MNCs.
    • Our Trainers work on real-time projects that will allow you to get valuable experience.
    • Our Tutors have Data Analytics domain knowledge and offers a variety of training options for applicants, including Classroom instruction is available,Training on an individual basis,Online training with a live instructor Customized training.
    • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
    • Trainers are also help candidates increase your chances of being hired by showcasing your real time project experience and Internal Hiring process.
    • Our trainers have strong Theoretical & Practical Knowledge expertise and up-to-date knowledge of real-world industrial applications providing Best Data Analytics training to the students.
    • We have received several prestigious awards for Data Analytics Training in Philadelphia from recognized IT organizations.

    Data Analytics Course FAQs

    Looking for better Discount Price?

    Call now: +91-7669 100 251 and know the exciting offers available for you!
    • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
    • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
    • More than 3500+ students placed in last year in India & Globally
    • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
    • 85% percent placement record
    • Our Placement Cell support you till you get placed in better MNC
    • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
      ACTE Gives Certificate For Completing A Course
    • Certification is Accredited by all major Global Companies
    • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Philadelphia
    • The entire Data Analytics 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 Analytics Course At ACTE?

    • Data Analytics Course in ACTE is designed & conducted by Data Analytics experts with 10+ years of experience in the Data Analytics 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), Philadelphia.
    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 Analytics batch to 5 or 6 members
    Our courseware is designed to give a hands-on approach to the students in Data Analytics. 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 76691 00251/ Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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    Request for Class Room & Online Training Quotation

          Job Opportunities in Data Analytics

          More Than 35% Prefer Data Analytics for Business. Data Analytics Is One of the Most Popular and In-Demand Technologies in the Business World.

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