Data Science Foundation Course - ExcelR Solutions
  •   + 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.
  • Register

DATA SCIENCE FOUNDATION COURSE

Course will enable you to understand what data science is ,how it helps business draw meaningful insights from historical data, learn to deal with data, understand various data types and methods to deal with them, understand how data mining helps deal with big, unstructured data and machine learning techniques to predict outcomes and finally how to analyze and infer strategies to help organizations to draw benefits.

REQUIREMENTS

  • Computer skills
  • Basic Mathematical Skills

WHO SHOULD ATTEND

  • Candidates aspiring to be Data Scientist, Machine Learning developers, Analytics Manager/Professional, Business Analyst, Data Analyst, etc
  • Graduates who are looking to build a career in Data Science and Machine Learning
  • Employees of Organizations, who are planning to shift to Data Science and Proactive Predictive Analytics
  • Freshers, Low/Mid-Level Executives
  • Managers with Knowledge of Basic Programming

Enquire now

Please submit the form to get the e-Brochure

Duration 48 Hours
ELIGIBILITY: Computer Skills, Basic Maths Knowledge and
Analytical Mindset
Software Tool
COURSE FEE:
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  • Methodology

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

    • Python
    • R
    • RStudio
  • Modules

    • Introduction to R and Python
    • Introduction to Business Statistics
    • Concepts of Predictive Analytics
    • Hypothesis Testing
    • Life Cycle of Data Analytics Project
    • Data Mining Supervised Learning
    • Data Mining Unsupervised Learning
  • Use case driven industry specific curriculum with Expert trainers
  • Additional assignments covering over 60 - 80 hours
  • Access to Free webinars and latest industry updates
  • 24/7 Interaction with our trainer pool through forums and WhatsApp groups
  • Access to Free SAS Base e-Learnings
  • Work on (1) Live Project through INNODATATICS, USA
  • 3 months Learning Management System (LMS) access to recorded videos, assignments, case studies related to your industry, algorithms and 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.

Data Analysis courses, Data Science course and Big Data Analytics courses in Malaysia are in extremely high demand. ExcelR Solutions has become the go-to place for Data Science certification training in Malaysia because of the choice of wide variety of data analytics courses which are offered. Become certified data science specialist in Malaysia by learning a plethora of data mining concepts. Alongside these advantages, Python and R programming will help by adding value to this certification not only in Malaysia but also across the globe. ExcelR also offers Big Data analytics courses in Malaysia and has a unique position in the space of Big Data training in Malaysia.

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 and 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

    Self-Paced Learning and Assignments

    Simplest and easiest way to keep track of your learning process. This is 2nd stage of training by providing an amalgam of Classroom, Self-Paced 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

    Live Projects

    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.

FAQs

What is the difference in roles such as Data Scientist, Data Engineer, Data Analyst, Data Architect, etc.

While there are a lot of roles and terms provided to data professions, most of the responsibilities overlap.

Data Analyst: This role majorly deals with performing data cleansing, exploratory data analysis and data visualization and many more. This role is more reactive in the sense, a data analyst understands on what has happened until the present state using data.

Data Scientist: This role majorly focus on building algorithms to solve business problems using statistical tools such as Python, R, SAS, STATA, Matlab, Minitab, KNIME, Weka, etc. Data scientist also performs predictive modeling to ensure proactive decisions are taken.

Data Engineer: This role deals majorly with programming with respect to Spark programming, Python programming, R programming, etc. Usually they will serve as a complimentary role to Data Scientists.

Data Architect: A data architect tries to help the organizations with establishing the hardware and software infrastructure needed to perform data analysis. They help in selecting the right database, servers, network architecture, gpus, cores, memory, hard disk, etc.

Why so many terminologies such as Business Analytics, Data Science, Data Analytics, Data Modeler, etc.

Different organizations, companies, firms, industries started using different terms for data professionals. The various terminologies which are interchangeably used and do not have a strong differentiation among the underlying meaning includes – Data Science, Business or Data Analytics, Data Modeler, Forecaster, etc. In short it is safe to assume that these roles mean the same.

What if I have no experience in dealing with Data or Data Science profession?

Data professionals especially Data Science professionals are very scarce in the market and not until early 2010, was this term used in the business world. If one can demonstrate strong knowledge of the data science concepts and data science algorithms then you can be absorbed into this luring profession.

ExcelR Solutions also provides internship opportunities for deserving participants to help them gain real life experience through Innodatatics, which is a USA based consulting firm. This will help participants bridge the gap between theory and practicals.

What if I am newly out of college or studying in final year? How will you help us with job placements?

Jobs are umpteen with a huge demand for data professionals which includes data scientists. The moment you complete the training, assignments and the live projects, we will float your resume to the organizations and companies with whom we have a formal agreement on job placement.

We also conduct a lot of webinars on Data Science interview preparation and Resume preparation, which will cover all aspects of post training activities to be performed so that you get placed in the Data Science jobs.

Do you provide any assignments?

Yes. We do provide course assignments in LMS after completing the course. Participants have to submit the assignments in order to obtain certificate from ExcelR

What is total learning time / course duration including Projects?

The total learning time includes:
Duration of the course + 3 months access to LMS for recorded videos and assignments + 1 month project

What If I miss a class / session?

We arrange for recordings of each session, so even if you miss any session, you will always have access to the session on our Learning Management System

What tools are included in the program?

R , R Studio and Python

Can choose my Mentor?

Logically No. But if your mentor feels you require special emphasis in training in a certain area, during the mentoring session, then he / she may ‘suggest’ a trainer as required. [If a Mentor is himself / herself qualified to train in the area required then he / she may choose to do so]

What are the deliverables included in the course?

Use case driven and industry specific curriculum with Expert trainers and free access to live training classes and LMS access for 3 months. Also we provide three mock interviews to test your readiness to attend the interviews. ExcelR allows you to work on Live Projects through INNODATATICS, USA and provides 24/7 Interaction with trainer pool through forums

Do I need to pay separately for Certification?

No. At the end of the training, after submitting the assignments in the LMS, you will receive a certificate from ExcelR stating that you are a Certified Data Scientist

Do you provide Job assistance?

Yes. We provide assistance for the below aspects:
Regarding project implementation and the course in general, queries will be answered by the live Interaction with a subject expert to help students
Guidance on forum: Industry experts to respond to participant queries regarding technical concepts, projects and case studies
Teaching Assistance includes: Project Assistance and Technical Assistance

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.

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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.

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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.

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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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