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Data Science Course in Pune

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  • Get Best Practices on Novice to Advanced Level Classes.
  • Best Approaches to Trending Concepts at Nominal Cost.
  • Delivered by 9+ years of Data Science Certified Expert.
  • Practical Training for Beginners and Experienced Professionals.
  • Access to Trendy Projects and Advanced Research Resources.
  • Next Data Science Batch to Begin this week – Enroll Your Name Now!

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INR 18000

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Upcoming Batches

25- Sep- 2023
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

27- Sep- 2023
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

30- Sep- 2023
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

30- Sep- 2023
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

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Best Practices on Job Oriented Tools Covered Data Science Training

Mastering Data Science Training: Exploring the Power of Data

  • ACTE's Data Science Training program is designed to prepare learners for a career in data science.
  • Data Science is an interdisciplinary field that involves the extraction, analysis, and interpretation of large and complex data sets.
  • To analyse and interpret data, data science use a variety of techniques such as statistics, machine learning, and data visualisation.
  • The training program covers various topics, including data analysis, machine learning, data visualization, and statistical modeling.
  • The Data Science program is delivered by experienced trainers who have extensive industry experience in data science.
  • The trainers are experts in their field and have a passion for teaching. They are committed to providing learners with the best possible learning experience.
  • Embracing data science has become essential for organizations looking to stay ahead in today's data-driven and rapidly evolving business landscape.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs

PLACED IMAGE ACTE

Course Objectives

    A data scientist's key responsibilities include:

  • Data collection and cleaning
  • Exploratory data analysis
  • Statistical modeling and machine learning
  • Data visualization and communication

    Data science has numerous applications including:

    • predictive analytics
    • Recommendation systems
    • Fraud detection
    • Natural language
    • Processing
    • Image recognition
    • Optimization
    • Data preprocessing
    • Statistical analysis
    • Machine learning algorithms
    • Data visualization

    Python and R are the two most widespread Data Science programming languages. due to their extensive libraries and tools specifically designed for data analysis and machine learning.

Data Science is highly important in today's job market due to the increasing demand for data-driven decision-making. Organizations across sectors are actively seeking skilled data scientists to extract valuable insights from data. The ability to analyze and interpret data has become crucial for driving business growth and competitiveness.

  • Skill Development:Data Science courses provide opportunities to learn and develop essential skills
  • Practical Experience:This practical experience helps bridge the gap between theory and practice, preparing learners for the challenges they may encounter in Data Science roles.
  • Industry-Relevant Curriculum:Data Science courses are designed to cover the latest tools, techniques, and methodologies used in the industry.
  • Credentials and Recognition:Completing a Data Science course often results in a certificate or credential, which can add credibility to your resume
    • Yes, there are several certifications available, such as the Certified Data Scientist (CDS) by Data Science Council of America (DASCA), IBM Data Science Professional Certificate, and Microsoft Certified: Azure Data Scientist Associate.

    Why we learn Data Science?

    • Insight Extraction
    • usiness Advantage
    • High Demand
    • Versatility
    • Innovation
    • Predictive Analysis

    Is Data Science good for career?

    Yes, Data Science is an excellent career choice. It offers high demand, competitive salaries, and a versatile skill set applicable across various industries. With continuous advancements in technology and increasing reliance on data, Data Science professionals can expect continuous growth and opportunities for career advancement.

    What are the roles in Data Science?

    • Data Scientist
    • Data Analyst
    • Machine Learning Engineer
    • Data Engineer, Business Analyst

    What are the career prospects in Data Science?

    Data Science offers diverse career opportunities, including data scientist, data analyst, machine learning engineer, data engineer, business analyst, and data consultant in various industries like healthcare, finance, e-commerce, and more.

    Show More

    Discovering the Magic of Data: an Overview of Data Science

    Data science is a multidisciplinary that includes a number of tools, methodologies, and approaches and tools to extract insights and knowledge from data. It involves collecting, cleaning, analyzing, and interpreting large and complex datasets to uncover patterns, trends, and relationships.The Data Science process begins with data collection, where data is obtained from databases, APIs, sensors, social media, and other sources. Data cleaning and preprocessing are performed to handle missing values, outliers, and inconsistencies. Taking a Data Science course offers numerous benefits. It equips individuals with in-demand skills, such as data analysis, machine learning, and programming, increasing their employability and opening up a wide range of career opportunities. It enhances analytical and problem-solving abilities, enabling professionals to extract valuable insights from complex datasets and make informed decisions. Additionally, Data Science training fosters innovation by encouraging individuals to think critically and creatively when approaching complex problems.  

    Additional Info

    Benefits of Data Science

    • Data-Driven Decision Making: Data Science enables organizations to make informed, data-driven decisions. By analyzing and interpreting large volumes of data, businesses can uncover patterns, trends, and insights that guide strategic planning, optimize operations, and drive growth.
    • Improved Efficiency and Productivity: Data Science techniques, such as automation and predictive modeling, can streamline processes and improve operational efficiency. By identifying bottlenecks, optimizing workflows, and automating repetitive tasks, organizations can save time, reduce costs, and increase productivity.
    • Enhanced Customer Experience: Data Science helps organizations understand customer behavior, preferences, and needs. By analyzing customer data, organizations can personalize marketing campaigns, tailor products and services, and deliver a more personalized customer experience, leading to increased customer satisfaction and loyalty.
    • Better Risk Management: Data Science enables organizations to identify and mitigate risks effectively. By analyzing historical data and building predictive models, businesses can anticipate potential risks and take proactive measures to minimize their impact. This applies to financial risk, fraud detection, cybersecurity, and various other domains.
    • Innovation and Competitive Advantage: Data Science fuels innovation by uncovering new insights and opportunities. By leveraging advanced analytics and Machine Learning, organizations can gain a competitive edge by developing innovative products, optimizing processes, and identifying new market trends before their competitors.
    • Improved Forecasting and Planning: Data Science helps organizations make accurate forecasts and strategic plans. By analyzing historical data, market trends, and external factors, businesses can make reliable predictions regarding sales, demand, inventory, and resource allocation, enabling them to make better decisions and optimize resource utilization.
    • Career Opportunities: Data Science has emerged as a highly sought-after field, offering a plethora of career opportunities. Data scientists with advanced skills are in high demand across sectors, making it a lucrative and rewarding career path with excellent growth prospects.
    • Data Science empowers organizations to harness the power of data, gain valuable insights, and make data-driven decisions that drive growth, efficiency, and innovation in today's data-driven world.

    The main objectives of Data Science

    • Extract Insights from Data: The primary objective of Data Science is to extract meaningful insights and knowledge from raw data. By utilizing various statistical and analytical techniques, Data Scientists aim to uncover patterns, trends, correlations, and hidden relationships within the data.
    • Make Informed Decisions: Data Science aims to help businesses make informed decisions based on data-driven insights. By analyzing and interpreting data, businesses can identify opportunities, address challenges, optimize processes, and make strategic decisions that drive growth and success.
    • Predictive Analysis: Another objective of Data Science is to create predictive models capable of forecasting future results and patterns.By leveraging machine learning algorithms, Data Scientists build models that can make accurate predictions, enabling businesses to anticipate customer behavior, market trends, and potential risks
    • Data Visualization and Communication: Data Science aims to show complex facts in a pleasant and understandable visual format. By using data visualization techniques and tools, Data Scientists communicate their findings effectively to stakeholders, enabling better comprehension and decision-making.
    • Automation and Efficiency: Data Science seeks to automate processes and improve operational efficiency. By leveraging technologies like machine learning and artificial intelligence, Data Scientists develop algorithms and systems that can automate tasks, streamline workflows, and optimize resource allocation.
    • Data-Driven Innovation: Data Science aims to drive innovation by uncovering new insights, opportunities, and solutions. By analyzing data, businesses can discover new patterns, market trends, and customer preferences, leading to the development of innovative products, services, and business strategies.
    • Solve Complex Problems: Data Science tackles complex problems by applying analytical techniques and statistical models. From fraud detection to healthcare analytics, Data Scientists use their skills and expertise to address real-world challenges and provide data-driven solutions.

    Job roles and responsibilities of Data Science

    Data Science is a wide field with several job titles and responsibilities. Here are some examples of common Data Science jobs and responsibilities:

    • Data Scientist:
    • Collecting, cleaning, and preprocessing large datasets.
    • Using statistical analysis and data mining tools to obtain insights.
    • Building and executing machine learning models and algorithms into action.
    • Collaborating with domain experts to understand business problems and propose data-driven solutions.
    • Communicating findings and insights to stakeholders through visualizations and reports.
    • Data Analyst
    • Collecting and organizing data from various sources.
    • Conducting exploratory data analysis to uncover patterns and trends.
    • Performing statistical analysis and hypothesis testing.
    • Creating data visualizations and dashboards to present insights.
    • Assisting in data-driven decision-making processes and providing actionable recommendations.
    • Machine Learning Engineer:
    • Creating machine learning models and algorithms from scratch.
    • Preprocessing and transforming data for model training.
    • Training and evaluating models using large datasets.
    • Optimizing model performance and fine-tuning hyperparameters.
    • Deploying models into production environments and monitoring their performance.
    • Big Data Engineer:
    • Responsible for developing and maintaining data pipelines and infrastructure to manage enormous amounts of data.
    • Creating and deploying distributed computing systems (e.g., Hadoop, Spark) for big data processing and analysis.
    • Creating data storage and retrieval solutions for effective data management.
    • Ensure data quality, security, and regulatory compliance.
    • Working with data scientists and analysts to satisfy data needs.
    • Data Architect:
    • Creating and deploying data storage and management systems.
    • Defining data models, schemas, and structures.
    • Establishing data governance and ensuring data integrity and security.
    • Evaluating and selecting appropriate technologies and tools for data management.
    • Collaborating with stakeholders to align data architecture with business goals.
    • Business Analyst:
    • Understanding business requirements and translating them into Data-related needs.
    • Analyzing and interpreting data to generate insights and support Decision-making.
    • Identifying trends and patterns to help drive business strategies.
    • The creation and execution of data-driven solutions in collaboration with cross-functional teams.
    • Monitoring and assessing the efficacy of deployed solutions.

    Below are the Skills You Gain From Our Data Science Training

    Our Data Science Training programme will provide you with a comprehensive set of skills required to succeed in the industry. Here are some of the abilities you will gain:

    • Programming Skills: You will gain proficiency in programming languages such as Python or R, which are widely used in Data Science. You will learn to write efficient and optimized code, work with data structures, and leverage libraries and packages for data analysis.
    • Statistical Analysis: You will acquire a solid foundation in statistical concepts and methods. You will learn how to apply statistical techniques to analyze data, perform hypothesis testing, and make data-driven decisions based on statistical inference.
    • Machine Learning: You will learn various machine learning algorithms and techniques for both supervised and unsupervised learning. You will understand the theory behind these algorithms and gain practical experience in implementing and evaluating them on real-world datasets.
    • Data Manipulation and Preprocessing: You will learn how to clean, preprocess, and transform raw data into a suitable format for analysis.This includes handling missing values, outliers, and dealing with different data types.
    • Data Visualization: You will learn to create compelling visualizations and charts to effectively communicate insights from data. You will gain proficiency in using tools and libraries such as Matplotlib, Seaborn, or Tableau to create visually appealing and informative visual representations.
    • Big Data Technologies: You will gain practical experience with big data technologies like Hadoop and Spark.You will learn how to handle large volumes of data, perform distributed computing, and utilize parallel processing for efficient data analysis.
    • Deep Learning: You will delve into the field of deep learning and neural networks. You will understand the concepts of artificial neural networks, learn how to build and train deep learning models using frameworks like TensorFlow or PyTorch, and explore applications such as image recognition and natural language processing.
    • Data Storytelling and Communication: Through data storytelling, you will learn how to successfully convey your discoveries and insights to stakeholders. You will develop skills in presenting data visually, creating informative reports, and conveying the significance of your analysis to non-technical audiences.
    • Problem-Solving and Critical Thinking: Through practical projects and exercises, you will develop strong problem-solving and critical thinking skills. You will learn to approach complex data problems, break them down into manageable tasks, and develop creative and effective solutions.
    • Collaboration and Project Management: You will have the opportunity to work on real-time projects and cooperate with other learners. This will enhance your teamwork and project management skills, preparing you for real-world Data Science projects in a professional setting.
    • These skills will provide you with a strong foundation and practical expertise to tackle data-driven challenges and success in the profession of Data Science.

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    Key Features

    ACTE Pune offers Data Science Training in more than 27+ branches with expert trainers. Here are the key features,
    • Get Qualified from Professional Expert
    • 100% Job placements
    • Industry Expert Faculties
    • Learn Data science from scratch
    • 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.
     

    Curriculum

    Synopsis of Data Science Course in Pune
    Module 1: Introduction to Data Science
    • Overview of Data Science and its applications
    • Role of Data Scientists in industry
    • Data Science lifecycle and process
    Module 2: Data Manipulation and Analysis
    • Data cleaning and preprocessing techniques
    • Data exploration and visualization
    • Descriptive and inferential statistics
    Module 3: Programming Fundamentals
    • Introduction to Python/R programming languages
    • Data structures and algorithms
    • Working with libraries and packages for data analysis
    Module 4: Machine Learning Techniques
    • Supervised learning algorithms (linear regression, logistic regression, decision trees, etc.)
    • Unsupervised learning algorithms (clustering, dimensionality reduction)
    • Model evaluation and validation techniques
    Module 5: Data Mining and Big Data Analytics
    • Introduction to data mining concepts and techniques
    • Handling large datasets using distributed computing frameworks (Hadoop, Spark)
    • Extracting insights from unstructured data (text mining, social media analytics
    Module 6: Deep Learning and Neural Networks
    • Basics of neural networks and deep learning
    • Building and training neural networks using frameworks (TensorFlow, Keras)
    • Applications of deep learning in image recognition, natural language processing, etc.
    Module 7: Data Visualization and Communication
    • Principles of effective data visualization
    • Tools and libraries for data visualization (Tableau, matplotlib, ggplot)
    • Presenting data-driven insights to stakeholders
    Module 8: Ethical and Legal Considerations in Data Science
    • Privacy, security, and ethical issues in handling data
    • Compliance with data protection regulations (GDPR, CCPA)
    • Responsible use of data and ethical decision-making
    Module 9: Capstone Project
    • Applying data science techniques to solve a real-world problem
    • End-to-end project lifecycle, from data collection to model deployment
    • Presenting and communicating project findings and recommendations
    Show More
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    Need customized curriculum?

    Get Hands-on Knowledge with Industrial Live Data Science Projects

    Project 1
    Recognition of Speech and Emotion

    In this project, we are using Librosa to perform Speech and Emotion Recognition to identify the emotion and speech from a combination of tone and pitch of human voice.

    Project 2
    Driver Drowsiness Detection System

    This project will help to recognize whenever the driver may get drowsy & fall asleep while driving by creating a model to detect the sleepy driver and raises an alert alarm to indicate.

    Project 3
    Customer Segmentations Project

    The project uses the K-means clustering algorithm to perform the visualizations and distribute like gender specification to find the customers annual value and scores.

    Project 4
    Gender and Age Detection

    It is an ML Project based on computer visioning, and through this Data Science project, you get familiar with a practical application of convolutional neural networks (CNN).

    Data Science Course With Placement: Empowering Careers

    ACTE's Data Science Course With Placement track record and offers a comprehensive curriculum that prepares students with the necessary skills and knowledge in the field of Data Science.
    • Data science has a global presence, allowing professionals to find placement opportunities worldwide.
    • It is applicable across various industries such as finance, healthcare, retail, technology, and marketing.
    • Data science is witnessing a rapid increase in demand as organizations recognize the value of data-driven decision-making.
    • Data science professionals often receive attractive salary packages due to the scarcity of skilled talent in the field.
    • Data science placements often come with competitive compensation packages and opportunities for career growth.
    • The field of Data Science is evolving, resulting in the emergence of new roles such as deep learning, artificial intelligence, data engineering, and data visualization

    Data science certification: Mastering the Art of Data Analytics

    A Data Science Certification is the key to unlocking numerous opportunities in this rapidly evolving field. This Complete certification program equips aspiring data scientists with a solid foundation in statistical analysis, machine learning, and data manipulation techniques.Participants will gain hands-on experience with industry-standard tools and technologies, enabling them to extract valuable insights from complex datasets. upon successful completion of the certification, graduates are equipped with a highly doubt-after skill set. With this certification, individuals can pursue exciting career opportunities as data analytics, data engineers, or data scientists across various industries.

    • Increased Job Opportunities
    • Career Advancement
    • Industry Recognition
    • Skill Validation
    • Networking Opportunities
    • Enhanced Earning Potential
    • Professional Credibility
    • Certified Data Scientist (CDS)
    • Azure Data Scientist Associate
    • IBM Data Science Professional Certificate
    • Cloudera Certified Data Scientist
    • Google Certified Professional Data Engineer
    • SAS Certified Data Scientist
    • EMC Proven Professional Data Scientist Associate

    Earning a Data Science certification can significantly improve your employability and increase your chances of securing a job in the data-driven industry, a certification showcases your proficiency in Data Science concepts, methodologies, and tools, making you a more competitive candidate.

    • Basic Programming Skills
    • Mathematics and Statistics
    • Data Analysis
    • Machine Learning Fundamentals
    • Data Handling
    • Database Concepts

    Preparing for data science certification exams involves mastering data science fundamentals like mathematics, statistics, and programming (Python or R), along with hands-on practice in data manipulation, machine learning algorithms, and data visualization. Engaging in real projects, taking online courses, and participating in data science communities can enhance your understanding and readiness for the exams, enabling you to demonstrate your expertise in data science.

    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

    Empowering Minds: Nurturing the Future Data Science Experts

    • Assistance provided in resume development to enhance job prospects.
    • Experienced Data Science trainers with over 9+ years of industry experience.
    • Mock placement procedures are conducted to prepare candidates for actual interviews.
    • Data Science Course in Pune, Focus on real-time project summaries to enhance practical skills.
    • Highly qualified Data Science Experts ensure a comprehensive and successful learning experience.
    • Strong emphasis on teaching from the basics, ensuring a clear understanding of Data Science principles.

    Data Science Course Reviews

    Our ACTE Pune Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

    Nandhini

    Student

    ACTE is the best training institute for Data science and Data Analytics in BTM Layout. The trainers are well experienced and the methodology of teaching is top notch. They provide practicals along with theoretical sessions for complete understanding of the concepts. They even provide placement assistance after course completion as well.

    Sindhuja

    Software Engineer

    I am really happy and I want to say something about ACTE, This is a very good place to learn Data Science. And the trainer helped me to understand about Data Science. I hope this is the correct place to learn IT course. I suggest if anyone wants to learn course, I recommend ACTE Institute in Pune.

    Ebenazar

    Best DATA SCIENCE training institute in Tambaram with Realtime client projects and dedicated support team. I have taken Data science training on this January and completely happy with their teachings, projects and job support after the course completion. It's a One stop destination for your data science And AI training in BTM Layout.

    Illakiya

    Student

    ACTE for your career switch to Data Science..They have well experienced Trainers in ACTE who can make you industry ready. Curriculum is quite unique and includes current industry needs. They give very good job assistance also.

    Tharani

    Software Engineer

    Its a good institute for Data Science in Porur. The teaching staff is good, they give us day wise assignments which helped me to hands on algorithms of machine learning and also provide us the backup classes. The access they provide is very helpful to listen the classes repeatedly. They provide good placement assistance. Thanks social ACTE team for your support and guidance.

    View More Reviews
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    Data Science Course FAQs

    Looking for better Discount Price?

    Call now: +9193833 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
    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
    • 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 ScienceCourse 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 93833 99991 / 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

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