Certificate Course in
Data Science using Python and R Programming
- 48 Hours Classroom & Online Sessions
- 80 Hours Assignments & Real-Time Projects
485 Reviews
3152 Learners
Academic Partners & International Accreditations
"The global focus has shifted towards the field of data science and the average salary for a Data Scientist is $123735 per year in the United States." (Source - Glassdoor). The big story of the past decade is the explosion of data – a.k.a., ‘big data’ and how that is disrupting enterprises across all domains. As we step into the new decade, enterprises are focusing more on becoming data-driven by leveraging Data Analytics tools and techniques. With such a focus on advanced analytics capabilities, companies are searching for individuals who possess these skills to help in their vision. The Data Analytics training by 360DigiTMG is an effort to reduce this skill gap. In the USA, the big-data adoption of enterprises shot up by 59% in 2018 alone and this trend is poised to continue in 2020 and beyond. Participants of this training can aim to get employment in some of the hottest job markets in the USA – including Silicon Valley. The USA is the home of innovation with some of the best and bright minds living here. There are a lot of start-ups and research centres in this country which craves and embraces innovation. In addition to being a technologically advanced nation, it is also a potpourri of varied cultures and cuisines. That makes this country a truly unique place in the world, with cuisines from across the world.
Data Science
Total Duration
3 Months
Prerequisites
- Computer Skills
- Basic Programming Knowledge
- Analytical Mindset
Data Science Training Overview
Leapfrog your career in Analytics with "Data Analytics using Python and R programming" course. Gain hands-on experience in performing Exploratory Data Analysis and Data Mining using Python and R. Learn how Machine Learning algorithms can help extract useful business insights and achieve data-driven decision-making. The Certification Program in Data Analytics using Python and R provides a detailed introduction on how to use Python and R to programmatically interrogate structured (RDBMS) and unstructured (Big Data) data. Understand the different types of machine learning techniques like supervised and unsupervised learning. Get introduced to techniques like Neural Networks, SVM and present your findings with attractive Data Visualization techniques.
What is Data Science?
Data Science encompasses a wide variety of roles and tasks including collecting data, analytics, extracting knowledge and insights, identifying and predicting trends, plotting, machine learning, or artificial intelligence. Data is the foundation of Data Science and we have been generating data at an unprecedented rate through texts, numbers, audio, images, mobiles, social media, etc. All this data needs to be segregated into the relevant, structured and well-organized format. A Data Scientist is a specialist who deals with raw data and designs ways to retrieve process and consume this data with the intent to measure performance and predict future behaviour.
Data Science Course Learning Outcomes
The aim of this course is to help students learn, understand, and explore analytics and machine learning approaches. Billions of devices are connected to the internet today and are generating around 32 million terabytes of data every day. Data science is a field that helps uncover vital data and sets it on track by slicing out meaningful information and other prime aspects crucial to any business operations. In this course, students will learn to handle numerical information, visualize the findings and create images to understand the insights from the data and make predictions or informed decisions. They will explore all fundamentals and various methods within data science which includes data processing, data extraction, statistics, descriptive and predictive analytics and machine learning approaches using Python and R. They will also analyze and relate to various data generation sources and evaluate different storage and data processing technologies. This training also contributes to enhancing the communications skills of students who will be presenting and communicating their findings of comprehensive data analysis using Data Visualization for easy understanding and communication. The goal of this training in the USA is to equip students with the in-demand data science skills of data extraction, wrangling and pre-processing to derive conclusions from the data. Students will also learn to
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Who Should Sign Up?
- IT Engineers
- Data and Analytics Manager
- Business Analysts
- Data Engineers
- Banking and Finance Analysts
- Marketing Managers
- Supply Chain Professionals
- HR Managers
- Math, Science and Commerce Graduates
Data Science Training Modules
These modules provide students with the essential skills needed to comprehend the language of data and solve data problems across various sectors and industries using Python and R. The modules aim to deliver knowledge relating the conceptualization and summarization of data, representation of data, data computing technologies, and handling data science projects. Students are first introduced to various techniques like Data Preparation, Data cleansing, Hypothesis Testing, Regression, Machine Learning Algorithms, Neural Networks, etc. By the end of the course, students will be able to build models using Python and R and gain expertise in object-oriented programming using Python. These learning will give the students ability to scale up machine learning techniques and technologies.
- Python:
- Python and Flask based local deployment - Build, train and deploy an ML model using Python and Flask: This module is a completely hands on, where you will train a model and deploy it to a web app using Flask framework.
- AWS SageMaker based cloud deployment - Cloud based deployment: Build, train and deploy ML model using AWS SageMaker
- R: Deploy a web app using RStudio and RShiny app
Tools Covered
Data Science Trends in USA
Data has always narrated the story of our lives and has evolved and boomed in recent years. We are experiencing an explosion of data from airline, mining and auto industries. This pace at which data is being generated is not expected to slow down in the coming years especially with IoT devices connected via the internet and are delivering richer and more diverse data types. Today, more and more platforms use data science and have created a dire need for Data Scientists across various industries for their digital transformation journeys. The upcoming trends in this field will include further advancement in Artificial Intelligence, privacy and security of data, cloud welcoming data, and blockchain technology.
Python will see an increase in its demand by Data Scientists who will use it for their research and algorithms. Cloud serving vendors like Google and Amazon will have to provide more storage space for global organizations and banks to store the huge amount of data generated by them. Another trend will be the concern for the security of the data and we will see a lot of progress around ensuring privacy and security of information. AI will also be seen to push rapidly into industrial scenarios. With so many trends that are set to shape the digital environment, the future of data Science is indeed going to be very exciting and innovative. The course in Data Science using Python and R in the USA will give you an opportunity to be part of the data revolution.
How We Prepare You
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Additional Assignments of over 80 hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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3 Month Access to LMS
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24/7 support
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Job Assistance in Data Science Fields
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Complimentary Courses
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Unlimited Mock Interview and Quiz Session
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Hands-on Experience in a Live Project
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Life Time Free access to Industry Webinars
Call us Today!
+60 19-383 1378Data Scientist Course Panel of Coaches
Bharani Kumar Depuru
- Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
- Over 18+ years of professional experience
- Trained over 2,500 professionals from eight countries
- Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
- Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
- Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Sharat Chandra Kumar
- Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
- Trained over 1,500 professional across 12 countries
- Worked as a Data scientist for 18+ years across several industry domains
- Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
- Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
- Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
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Bhargavi Kandukuri
- Areas of expertise: Business analytics, Quality management, Data
visualisation with Tableau, COBOL, CICS, DB2 and JCL - Electronics and communications engineer with over 19+ years of industry experience
- Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
- Trained over 750+ professionals across the globe in three years
- Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Certificate
Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science Certificate is your passport to an accelerated career path.
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Alumni Speak
"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."
"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."
Nur Fatin
Associate Data Scientist
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"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”
Thanujah Muniandy
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"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”
Ann Nee, Wong
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"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”
Mohd Basri
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"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."
"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”
Ashner Novilla
Our Alumni Work At
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FAQs for Data Science Bootcamp
Different organisations use different terms for Data Professionals. You will sometimes find these terms being used interchangeably. Though there are no hard rules that distinguish one from another, you should get the role descriptions clarified before you join an organisation.
With growing demand, there is a scarcity of Data Science professionals in the market. If you can demonstrate strong knowledge of Data Science concepts and algorithms, then there is a good chance that you can carve a successful career in this domain.
360DigiTMG provides internship opportunities through Innodatatics, our USA-based consulting partner, for deserving participants to help them gain real-life experience. This greatly helps students to bridge the gap between theory and practice.
There are plenty of jobs available for Data Professionals. Once you complete the training, assignments and the live projects you can enroll for placement assistance. We help our students in resume preparation. Once the resume is ready we will float it organisations with whom we have formal agreements on job placements.
We also conduct webinars to help you with your resume and job interviews. We cover all aspects of post-training activities that are required to get a successful placement. After placement we provide technical assistance for the first project on the job.
After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your Data Scientist certificate.
While there are a number of roles pertaining to Data Professionals, most of the responsibilities overlap. However, the following are some basic job descriptions for each of these roles.
As a Data Analyst, you will be dealing with Data Cleansing, Exploratory Data Analysis and Data Visualisation, among other functions. The functions pertain more to the use and analysis of historical data for understanding the current state.
As a Data Scientist, you will be building algorithms to solve business problems using statistical tools such as Python, R, SAS, STATA, Matlab, Minitab, KNIME, Weka etc. A Data Scientist also performs predictive modelling to facilitate proactive decision-making. Machine learning algorithms are used to build predictive models using Regression Analysis.A Data Scientist has to develop expertise in Neural Networks and Feature Engineering.
A Data Engineer primarily does programming using Spark, Python, R etc. It often complements the role of a Data Scientist.
A Data Architect has a much broader role that involves establishing the hardware and software infrastructure needed for an organisation to perform Data Analysis. They help in selecting the right Database, Servers, Network Architecture, GPUs, Cores, Memory, Hard disk etc.
In this blended programme, you will be attending 48 hours of classroom sessions over six days on campus in Kuala Lumpur, Malaysia. After completion, you will have access to the online Learning Management System for another three months for recorded videos and assignments. The total duration of assignments to be completed online is 40-60 hours. If you satisfactorily complete the attendance and assignments,
you will have the opportunity to work for a real world project through Innodatatics, USA.
If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System - Ai SPRY.
We assign mentors to each student in this programme. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.
No. The cost of the certificate is included in the programme package.
Jobs in the Field of Data Science in USA
Learning Data Science will accelerate your career and give you a chance to work for different job titles like Data Analyst, Data Scientist, Data Engineer, Business Analyst, Quantitative Analyst, Machine Learning Engineer, etc.
Salaries for Data Science Professionals in USA
In the United States, the average salary for a Data Scientist is $131513 per year. A Data Scientist with an experience of 1 year gets $103,152 per year and someone with a work experience of 5-6 years can easily fetch a salary of $142,111 per year.
Projects in the field of Data Science
To all the inquisitive data explorers out there, projects are the fun way to put your skills to practice. One can do projects related to network intrusion detection, email spam filtering, sensor-based environment monitoring, face recognition, and handwritten character recognition.
Role of Open Source Tools in Data Science
The tools of data science perform various operations concerning statistics, data cleaning, data extracting, data manipulation, stream processing, making interactive visualizations and performing complex calculations etc.
Modes of Training for Data Science
The course in the USA is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.
Industry Applications of Data Science
Data Science applications are used across a variety of industries including manufacturing, Finance, Banking, Education, Agriculture, Automobiles, Travel, Gaming, Healthcare, etc.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
Sana Ahsan
2 years agoI still remember going through websites for the Data Scientist course and reading reviews. That's when I finally found 360DigiTMG. Today, I will consider 360DigiTMG as the best one because it has offered me way more than any other training institute can do: Incredible curriculum, instructors, mentorship, and most job search skills and interviews best practices. One of the best decisions I made, I strongly recommend the Data Science program at 360DigiTMG to anyone looking for a Data Scientist/Analyst role. I am happy to announce that presently I am deputed as a Specialist Data Scientist at one of the top MNC.
Suriyaa Kumar
2 years agoI attended the Certification in Data Science program by 360DigiTMG. The course was amazing. I had a great learning & networking experience. Also, trainers are highly experienced and knowledgeable in the field of Data Science. I will recommend this course to anyone who wants to become a Data Scientist.
Asyraaf Afandi
2 years agoI joined the Data Science Certification Program which is a great place to learn if you want to start your career in the Data Science industry. The trainers are very knowledgeable and will try to explain the topics until you truly understand it. I would definitely recommend others to join it.
Iqmal Harris
2 years agoThe courses are taught by seasoned industry experts who know how to train absolute beginners and established professionals alike. Glad to have trained under 360DigiTMG.
Zarif Iqram
2 years agoI worked on a Survival Analysis project, which gave me good exposure and boosted my skill set in Business Intelligence with Power BI. Good to have it more and be involved in the real-time projects.
