In Collaboration with NEAT
Best Data Science Training in India Using Python
- Get Trained by Trainers from ISB, IIT & IIM
- 40 Hours of Intensive Classroom & Online Sessions
- 40+ Hours of Practical Assignments
- 1 Capstone Live Project
- Authorised by National Educational Alliance for Technology - NEAT
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"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.
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
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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 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
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Additional Assignments of over 40+ hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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Lifetime LMS Access
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24/7 Support
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Job Placements 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 Live Projects
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Offline Hiring Events
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