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Overview of Course

The Enterprise Big Data Analyst (EBDA) course provides an in-depth understanding of big data technologies and their applications. This course covers a wide range of topics, including data management, data analytics, and data visualization. The course helps learners become proficient in working with big data tools and techniques.

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Course Highlights

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Comprehensive coverage of big data analytics

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Hands-on experience in working with big data tools

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Industry-relevant case studies and projects




Key Differentiators

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    Personalized Learning with Custom Curriculum

    Training curriculum to meet the unique needs of each individual

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    Trusted by over 100+ Fortune 500 Companies

    We help organizations deliver right outcomes by training talent

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    Flexible Schedule & Delivery

    Choose between virtual/offline with Weekend options

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    World Class Learning Infrastructure

    Our learning platform provides leading virtual training labs & instances

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    Enterprise Grade Data Protection

    Security & privacy are an integral part of our training ethos

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    Real-world Projects

    We work with experts to curate real business scenarios as training projects

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Skills You’ll Learn

#1

Understanding of big data concepts and technologies

#2

Proficiency in data management and analytics

#3

Hands-on experience in working with big data tools and techniques

#4

Ability to analyze large datasets

#5

Knowledge of data visualization techniques

#6

Understanding of machine learning concepts

Training Options

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1-on-1 Training

USD 2500/ INR 200000
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews

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Skillzcafe's training program has been an exceptional learning experience for me. The course content was comprehensive and taught by industry experts, enabling me to acquire practical skills that are highly relevant. I strongly recommend Skillzcafe to anyone looking to upskill or kickstart their career.
Marshall Kumar
Director - Customer Experience at Wipro
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The training was a game-changer for me! The course material was comprehensive, the instructors were knowledgeable and supportive, and the hands-on approach helped me gain practical experience. I am confident and ready to tackle any challenge. Thank you, Skillzcafe!
Savilisa Vaz
Talent Fulfillment Specialist at Accenture
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I was thoroughly impressed with Skillzcafe's training program. The curriculum was comprehensive and up-to-date, and the instructors were knowledgeable and helpful. The hands-on approach helped me develop practical skills to apply in my future career. Overall, a fantastic learning experience!
Sarvagya Alung
Sr. Consultant at Infosys
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I had a great experience with Skillzcafe's training program. The online platform was user-friendly, and the instructors were knowledgeable and professional. I gained valuable skills that helped me in my current job. Highly recommend Skillzcafe to anyone looking for quality training.
Erica Montaque
Director of Learning and Development at Walmart
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It was an excellent investment in my career. The course materials were comprehensive, and the trainers were knowledgeable and approachable. The interactive online platform made it easy to learn from anywhere. I highly recommend Skillzcafe to anyone looking to upskill in their career.
Saujanya Khatri
Business Analyst at Amazon
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The training program was very informative and engaging. The instructors were knowledgeable and helpful, and the online platform was easy to navigate. The course content was relevant and up-to-date.
Amro A.
Lead Financial Analyst at AT&T
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The platform was easy to use, and the trainers were knowledgeable and supportive. I learned practical skills that have helped me in my job, and the flexibility of the online training allowed me to balance work and studies.
Rashed Alkhaldi
Information Technology Specialist at Saudi Aramco PMT
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I appreciate the flexibility to learn at my own pace, and the course content was relevant and practical. I highly recommend Skillzcafe's online training program.
Charles Stanhope
Sr. Content Strategist at CVS Health
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The flexibility of online learning and the expertise of the instructors made for a great experience. The course content was engaging and applicable, and I gained valuable skills.
Neil Silvio Lawrence
CX Specialist | Service Operations Excellence | CX Amplification Projects | Team Leadership Coach and Mentor at Tesco
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Curriculum

  • What is Enterprise Big Data Analysis?
  • The Objective of Enterprise Big Data Analysis
  • The Data Analyst versus the Data Scientist
  • The Big Data Analysis Toolbox
  • Models, Algorithms and Intellectual Property

  • The Business objective
  • Introduction
  • Types of Business Objectives

  • Introduction
  • Raw versus Processed Data
  • Reading Local Data Sets
  • Reading Online Data Set
  • Reading Data Sets from Databases

  • Tidy Data
  • Data Inspection – Review your Data
  • Data Cleaning
  • Data Wrangling
  • Data and R Files for this Chapter

  • Introduction to Data Analysis
  • Exploratory Data Analysis
  • Statistical Inference
  • Correlation
  • Regression

  • K-Nearest Neighbour (K-NN algorithm)
  • Dimensions in the k-NN classifiers
  • Naïve Bayes
  • Naïve Bayes Classifier with multiple variables
  • Laplace Smoothing
  • Logistic Regression
  • Classification Trees
  • Building a Classification tree
  • Model Overfitting and Accuracy

  • Hierarchical Clustering
  • Variations in hierarchical clustering
  • Jaccard index
  • K-Means Clustering

  • Grubbs Outlier detection
  • K-NN Outlier Detection

  • Introduction to Reproducible Research
  • Codebooks
  • Data Visualisation
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