Big Data & Analytics Course | Malaysia's No.1 Training Institute
  •   + 603 2092 9488
  •   info@excelr.com.my
  •   INNODATATICS SDN BHD (1265527-M) Level 16, 1 Sentral, Jalan Stesen Sentral 5, KL Sentral, Kuala Lumpur, Malaysia.
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COURSE OBJECTIVE

Big Data involves itself with the compilation of unstructured data, while Data Science is all about creating value out of this data. The dual certification course offered by ExcelR trains students in this visible synergy between the macro and micro-segments of Data Analytics. Suited for freshers and professionals, the course equips one to apply the Big Data framework Apache Hadoop to extract useful data and Apache Spark to analyze it further as a data scientist. This training is focused on providing knowledge on all the key techniques such as Statistical Analysis, most widely used Regression Analysis, Data Mining Unsupervised learning techniques. These techniques will be explained using the best data science tools in the industry – Python and R.

Learning Outcomes

  • Understand about the landscape of the various data generation sources
  • Learn about the tools & techniques used in the space of analysing both structured & unstructured data
  • To understand the differences between descriptive analytics & predictive analytics
  • Perform text mining to generate the sentiment analysis of customers
  • To understand the data driven machine learning approaches in taking critical business decisions
  • To understand on how to build prediction models for day-to-day applicability
  • To understand on how to perform forecasting to take proactive business decisions
  • Learn about representing data in most representable format using data visualization concepts
  • Be able to install, setup Hadoop & Spark environment for storing and processing the data
  • Be able to understand the advantages of distributed batch processing using the Hadoop Distributed File System (HDFS)
  • Be able to understand the differences in Hadoop 1.x and Hadoop 2.x version and the advantages of latest version (3.x)
  • Be able to perform exploratory queries on data batches using Pig, Hive and Spark
  • Be able to understand Spark RDD optimization techniques
  • Be able to write programs in Big Data domain as per system architecture

WHO SHOULD ATTEND

  • Candidates aspiring to be Data Scientist, Big Data Analyst, Analytics Manager / Professional, Business Analyst, Developer in Data Analytics
  • Graduates who are looking to build a career in Data Science, Machine Learning, Forecasting, Business Intelligence, etc.
  • Employees of organizations, who are planning to shift to Big Data tools
  • Academicians & researchers
  • Finally, students who are aiming to work in IT industry on emerging technologies

Enquire now

Please submit the form to get the e-Brochure

Duration 4 Months
ELIGIBILITY: Computer skills &
basic maths knowledge
Software Tool
COURSE FEE: $2500
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  • Methodology

    • Lecture with a blend of theoretical & practical exposure
    • Hands-on exercise to reiterate the learning
    • Quizzes to test the understanding
    • Discussions & final exam to attain certificate
    • Internship opportunity for eligible candidates
    • Live project opportunity to engage and explore Data Science and Machine Learning with USA based Analytics Consulting firm - Innodatatics
  • Modules

    • Data Science – The Icebreaker
    • Hypothesis testing and Simple Linear Regression
    • Multiple Linear Regression, Regression of attribute & count data
    • Data mining unsupervised and supervised
    • Data Mining supervised, Text Mining and Naïve Bayes
    • Black Box technique and Time Series Analysis
    • Introduction to Hadoop
    • HDFS (Hadoop Distributed File System)
    • Map Reduce
    • PIG
    • HIVE
    • HBASE
    • SQOOP
    • SPARK
  • Use case driven industry specific curriculum with Expert trainers
  • Additional assignments covering over 100 - 140 hours
  • Access to Free webinars and latest industry updates
  • 24/7 Interaction with our trainer pool through forums & WhatsApp groups
  • Access to Free SAS Base e-Learnings
  • Work on (2) Live Projects through INNODATATICS, USA.
  • 3 months Learning Management System (LMS) access to recorded videos, assignments, case studies related to your industry, algorithms & course materials 
  • Job assistance for getting placed in the field of Big Data Analytics, Data Science, Machine Learning
  • 3 mock interviews to test your readiness to attend the interviews
  • bharani

    BHARANI KUMAR DEPURU

    An alumnus of IIT Hyderabad & Indian School of Business with 13+ years of professional experience. Professional Certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, AgilePM (DSDM Atern). Trained 2500+ professional across 8 countries. Thorough implementer with abilities in Data Analytics, Process Management, Quality Management, etc. Trained for multinational corporates across the globe including HPE, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv, Ebreeze, Alshaya, Synchrony Financials, Deloitte, etc.

  • sharath

    SHARAT CHANDRA KUMAR MANIKONDA

    Data Scientist since 12 years & worked in various industries ranging from Banking to Retail & many more. Have professional certifications including Lean Six Sigma Green & Black Belt, Information Technology Infrastructure Library, etc. Trained 1500+ professional across 12 countries. Experience in handling projects worth Millions of dollars in retail sector, sports sector, to name a few. Have adroit experience in various softwares including Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, R, Rstudio, Python, Tableau, Cognos, etc. and delivered trainings for professionals in corporate honchos including DuPont, All-Scripts, Girnarsoft (College-dheko, Car-dheko).

  • nithin mishra

    DR. NITIN MISHRA

    As a PhD, has trained umpteen number of students from prestigious colleges & professionals from fortune 500 companies. 15 plus years of rich industry experience in space of Data Science & Business Intelligence (this includes BI tools such as Cognos, Tableau, Big Data, NoSQL, NewSQL, Machine Learning, Artificial Intelligence). Trained corporate clients in various tier-1 companies including Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Part of Champions Group). Training & Consulting has been at the helm of the industrial experience accrued over a period of 15+ years. Providing Energy Risk Professional consulting services to various Energy & Resources clients across the globe.

There are many ways to learnHow to Learn

  • 1 document icon

    Classroom Training

    Sessions by experienced, hand-picked experts from our partner concern Innodatatics Inc., IT & Analytics Solution Providers. This unbeatable combination of an industry-oriented curriculum coupled with real-world training ensures that our participants are ready to perform from the word go!

  • 2 registration icon

    e-Learning & Assignments

    Simplest and easiest way to keep track of your learning process. This is 2nd stage of training by providing an amalgam of Classroom, e-learning, simulation tests and other innovative methods. This combination of online and in-person classes makes for a flexible learning environment.

  • 3 get start icon

    online training

    Upon course completion, our students get to intern at our partner concern – Innodatatics. Here they get to work on real-life projects involving real-life data used by companies. This work experience tests the participants in their subject and can empower them with job-ready skills.

Testimonial
data science participant
Mohammad

Excelr mengajar saya asas mengenai 'big data' mengunakan hadoop dan spark. Mudah difahami walaupun saya tidak mempunyai asas 'programming'. Tenaga pengajar, Encik Sharat memberi 'real case study' dan analogi yang berkaitan bisnes sebenar. Program ini amat sesuai bagi yang keliru dan ingin mengenal mengenai 'big data' dan teori Hadoop dan Spark. 4.5 daripada 5 bintang.

testimonial icon
Mohd Firdaus Abd Wahab
Assistant Professor - International Islamic University Malaysia (IIUM)

It was a very good crash course on Machine Learning using R. The instructor Mr. Bharani Kumar made the whole experience fantastic and engaging. The overall coverage of the course was very refreshing and clear. The machine learning training was particularly interesting only because the instructor made a clear connection between the fundamentals and the applications of the content. Would love to have more of SVM, perhaps good to have the overall mind-map prior to class, so we can focus better.

testimonial icon
Wan Wardatul Amani Wan Salim (Ph.D, Biomedical engineering)
Academician -International Islamic University Malaysia (IIUM)

The basic simple explanation of all of the concepts was a good refresher to stats. Live examples and strong ties between the practicals and theory by expert and experienced trainer in this Field. The workshop was interesting and engaging. The instructor has (trust) Machine Learning in a nutshell.

data science participant
Ranjith Poovanna D.C
Automation Review Specialist

Almost all topics from regression models to various kinds of algorithms and interesting facts - real examples. Very knowledgable and clear, Bharani is down to the earth and guided us in all possible ways. Wish had more sessions with Bharani.

testimonial icon
Muhammad Hafiz fazren
Master in Biotechnology, - International Islamic University Malaysia (IIUM)

Machine Learning and its application across various industries and lectures are easily understandable. Provided more in-depth on the algorithm used in all case studies.

Chow Kai Sin
4.5 out of 5 marks for all the programs I attended !

I have enrolled for Executive Diploma in Big Data & Analytics and Tableau programs in ExcelR. The trainers are experienced and provided us essential and useful study materials. I have completed all the assignments and committed to Tableau Certify Exam soon. All trainers are patience and always give us "a real case" to practice. These programs / courses are really useful and material, it is suitable and good for all. Students would learn well about Digital Transformation Theory/ Big Data and Data Visualization. Through the practice or project, you could get a better understanding about the Future Digital World.

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