In Collaboration with IBM
Foundation Data Science Using Python and R
- Get Trained by Trainers from ISB, IIT & IIM
- 48 Hours of Intensive Classroom & Online Sessions
- 40+ Hours of Practical Assignments
- 1 Capstone Live Project
- Receive Certificate from Top University - UTM, Malaysia
Academic Partners & International Accreditations
"Python & R are among the top 5 programming languages of 2020, Given the number of Data Analytics players, the Data Analytics market in India will reach $16 billion by 2025." - (Source). Data Scientist is the “sexiest job” of the 21st century and has been in the headlines for quite some time now and the reason being that we are becoming an economy that is driven by Data. Given the circumstances, businesses are on a hunting spree for Data Scientists who can juggle with overwhelming amounts of data and churn it into actionable insights. This is the very reason many students are gearing up to prepare for a career in Data Science. Successful data professionals today realize that they have to move past the traditional skills used for analyzing data, mining data, maintaining data, communicating data, and capturing data which are some of the key skills used in Data Science. Successful Data Scientists recognize relevant questions from the data that come from a multitude of different sources and organize it to translate problems into solutions that positively affect business decisions.
- Computer Skills
- Basic Mathematical Concepts
- Analytical Mindset
Data Science Course for Beginners
Fast-track your career with the Certification in Data Science. Master all the key tools and techniques in Data Science and pick up domain-specific skills to add more value to your profile. In this data-driven environment certification in Data Science prepares you for the surging demand of Big Data skills and technology in all the leading industries. There is a huge career prospect available in the field of data science and this Data Science Certification Program is one of the most comprehensive Data Science courses in the industry today. This course in India is specially designed to suit both data professionals and beginners who want to make a career in this fast-growing profession. This training will equip the students with logical and relevant programming abilities to build database models. They will be able to create simple machine learning algorithms like K-Means Clustering, Decision Trees, and Random Forest to solve problems and communicate the solutions effectively. Over six days, students will learn key techniques such as Statistical Analysis, Regression Analysis, Data Mining, Machine Learning, Forecasting and Text Mining, and tools such as Python and R Programming.
What is Data Science?
Data Science is a process of analyzing data collected from varied sources and processing that data to reach a consensus. This data can be used to understand the precise behaviour and requirements of your customer, this data can help you in decision making, forecasting, predictive and prescriptive analytics. All this is done by building models using advanced machine learning algorithms.
Data Science using Python & R Learning Outcomes
Digital metamorphosis has positioned data at the heart of every organization. Businesses are submerged in data. They struggle to identify what is important and what actions to take and which ones to avoid. Data holds no value if it cannot be analyzed to produce actionable insights. Businesses today are beginning to understand the potential of big data and are unleashing their power to increase their business value. This course intends to teach the students the core components of data Science like data cleaning, data visualization, and machine learning algorithms. The students will gain an understanding of what is Data Science and the various kinds of activities that a Data Scientist performs. With this training, students will learn the methodology and the major steps involved in tackling big data and its problems. The purpose of this course is to teach students to collect data, clean, and analyze data, build a model, and understand the feedback after model disposition. This course will allow students to work on live projects so that they can gain and apply their newly acquired skills in the real-world scenario. They will explore various data generation sources and learn text mining to present Customer Sentiment Analysis and develop an insight towards Descriptive and Predictive Analytics. The students will also gain insight into the various techniques and tools implemented for the Transformation of Data and with the help of Data Visualization concepts represent data for easy understanding. They will learn to
Block Your Time
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 Certification Modules
The demand for data scientists has been surging over recent years and your prime focus should be that companies maintain their positions in the market through data-driven insights which are reason enough for the rising demand of data science professionals. This data Science module will give a chance to students to work on relevant data sets so that they can explore the key principles of data analysis, statistics, and computing. They will also explore the various applications of Data Science across various industries and sectors. This module helps students gain an understanding of the key techniques involved in Data Science such as Statistical Analysis, Regression Techniques, Machine Learning, Data mining, Forecasting, Text Mining, and scripting algorithms for the same with Python and R Programming. Students will also learn the key concepts of Neural Networks and study Deep Learning Black Box techniques like SVM.
Trends in Data science
Change in technology is inevitable and is supported by the ever-changing trends. To achieve great success in business one needs to keep up with the latest trends dominating the market. Similarly, the latest trends in Data Science that will push organizations to improve business processes and handle customer and client’s data more efficiently is the rise of Artificial intelligence and automated machine learning. One will see rapid growth in IoT technology which will reach $1.1 trillion by the end of this year. One cannot ignore the evolution of Big Data Analytics which is the trump card when it comes to gaining a competitive edge over data to achieve business goals. With the increase in the number of devices and sensors used for collecting data, Edge Computing will be on the rise which will take care of issues related to bandwidth, latency, and connectivity.
Conversational Analytics and NLP will uplift analytics and BI by introducing fresh classes of business users especially after big breakthroughs in deep learning research. The demand for Data Scientists is predicted to increase with having more than 12 million job opportunities in this field by 2026. With the inclusion of Cloud and IoT technologies, there has been an exponential growth of data that has led to the expansion of roles for data scientists in the field of Machine Learning and Big Data technology. The top sectors creating the most data science jobs are BFSI, Energy, Pharmaceutical, Healthcare, E-commerce, Media, and Retail. In the times to come a Data scientist role will not be just subjected to technical aspects but will rise to more of a collaborator and a facilitators role.
How we prepare you
Additional Assignments of over 40+ hours
Live Free Webinars
Resume and LinkedIn Review Sessions
Lifetime LMS Access
Job Placements in Data Science fields
Unlimited Mock Interview and Quiz Session
Hands-on Experience in Live Projects
Offline Hiring Events
Call us Today!
Data Science Foundation Training Panel of Coaches
Bharani Kumar Depuru
- Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
- Over 14+ years of professional experience
- Trained over 2,500 professionals from eight countries
- Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv Alshaya, Synchrony Financials, Deloitte
- 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 14+ 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
- Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
- Over 20+ years of industry experience in data science and business intelligence
- Trained professionals from Fortune 500 companies and students at prestigious colleges
- Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL
- Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more
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.
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.
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.
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.
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.
A Data Engineer primarily does programming using Spark, Python, etc. It often compliments 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.
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 high chance for you to be able to make a career in this profession.
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 practical.
There are plenty of jobs available for data professionals. Once you complete the training, assignments and the live projects, we will send your resume to the 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.
In this blended programme, you will be attending 48 hours of classroom sessions on campus in Hyderabad, Telangana, India. 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 hours. Besides this, you will be working on a live project for a month.
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.
No, the cost of the certificate is included in the programme package.
Jobs in the field of Data Science in India
There is no particular path to follow on your journey to becoming a data scientist. There are many career options to choose from like Data Engineer, Data Architect, Data Administrator, Machine Learning Engineer, Statistician, Data, and Analytics Manager.
Salary in the field of Data Science
Data Science has become one of the most attractive professions today and the salaries in this field add another layer to it. In India, the average salary of a data scientist is Rs 6.0 lakhs and over years of dedication and experience, he can earn anywhere from 25 lakhs to a whopping 90lakhs per annum.
Projects in the field of Data Science
The Indian government has launched several data science projects and initiated several data science research in the fields of Agriculture, Healthcare, Aviation, Cyber Security, Education, Road Traffic Safety, and Air Pollution.
Role of Open Source Tools in Data Science
The role of open source tools is to get the data ready for model training and processing predictions. Python and R, are two open- source tools that are easy to learn and maintain and also make it possible to stretch the applications of Python from Big Data Analytics to Machine Learning.
Modes of Training for Data Science
The course in Hyderabad 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 is used across various industries like banking, finance, manufacturing, transport, e-commerce, education. It is also used in fraud detections, analysis of healthcare information, seismic interpretation, energy exploration, traffic control, and route planning.