Certificate Course in
Data Science using Python and R Programming
- 48 Hours Classroom & Online Sessions
- 80 Hours Assignments & Real-Time Projects
- IBM Digital Certificates and Badges
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.
- 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
Block Your Time
2 Live Projects
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 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
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
Additional Assignments of over 80 hours
Live Free Webinars
Resume and LinkedIn Review Sessions
3 Month Access to LMS
Job Assistance in Data Science Fields
Unlimited Mock Interview and Quiz Session
Hands-on Experience in a Live Project
Life Time Free access to Industry Webinars
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