Future Q Technologies recognized as No.1 Data Science Training Center in Hyderabad
Best Data Science With R Online Training Institutes in Hyderabad
Data Science Online Training Institutes In Hyderabad
Future Q Technologies offers best Data Science Training in Hyderabad with most experienced professionals. Our Instructors are working in Data Science and related technologies for more years in MNC’s. We aware of industry needs and we are offering Data Science Training in Hyderabad in more practical way. Our team of Data Science trainers offers Data Science in Classroom training, Data Science Online Training and Data Science Corporate Training services. We framed our syllabus to match with the real world requirements for both beginner levels to advanced level.
Our training will be handled in either weekday or weekends programme depends on participant’s requirement. Here are the major topics we cover under this Data Science course Syllabus Introduction to R, Understanding R data structure, Importing data,, Manipulating Data, Using functions in R, R Programming, Charts and Plots, Machine Learning Algorithm and Statistics.Every topic will be covered in mostly practical way with examples.
We are providing Data Science Online Training in Hyderabad. We are one of best Institute to provide Best High Quality Data Science online training all over India. If you are staying in Hyderabad, Bangalore, Chennai, Pune, Delhi, USA, UK, Australia, and Singapore etc. and unable to attend regular class room training programs then contact our training institute for information on online training.
For more details on Data Science Online Training please call to 9581111796 / 9581111896, or drop a mail to: online@futureqtech.com
Python- Data Science Online Course
The programming requirements of data science demands a very versatile yet flexible language which is simple to write the code but can handle highly complex mathematical processing. Python is most suited for such requirements as it has already established itself both as a language for general computing as well as scientific computing. More over it is being continuously upgraded in form of new addition to its plethora of libraries aimed at different programming requirements. Below we will discuss such features of python which makes it the preferred language for data science.
- A simple and easy to learn language which achieves result in fewer lines of code than other similar languages like R. Its simplicity also makes it robust to handle complex scenarios with minimal code and much less confusion on the general flow of the program.
- It is cross platform, so the same code works in multiple environments without needing any change. That makes it perfect to be used in a multi-environment setup easily.
- It executes faster than other similar languages used for data analysis like R and MATLAB.
- Its excellent memory management capability, especially garbage collection makes it versatile in gracefully managing very large volume of data transformation, slicing, dicing and visualization.
- Most importantly Python has got a very large collection of libraries which serve as special purpose analysis tools. For example – the NumPy package deals with scientific computing and its array needs much less memory than the conventional python list for managing numeric data. And the number of such packages is continuously growing.
- Python has packages which can directly use the code from other languages like Java or C. This helps in optimizing the code performance by using existing code of other languages, whenever it gives a better result.
In the subsequent chapters we will see how we can leverage these features of python to accomplish all the tasks needed in the different areas of Data Science.
Data science online training In Hyderabad
In this free Data Science tutorial you will have the introduction to Data Scientist roles and responsibilities, machine learning algorithms, data analysis, data manipulation, data frame, random forest, linear and logistic regression, decision trees, neural networks, Python language, Python libraries, data model, variable, set, and more. There are plenty of Data Science use cases and practical examples. Data science helps the user by providing an ability to analyze huge data sets and by doing necessary operations, data science will save precious time and makes some big profit out of it.
This Tool is based on Linux/GNU. Since, the local version of toolbox will run on virtual machine. Therefore, we need to install and configure virtual box first.