Data Science with Python Training in Navalur

Learn Data Science with Python Training in Navalur. If you are planning to become a data scientist or is already one and you are planning to expand your tool base, then you are in the right place. Python is a common purpose programming language that is becoming quite popular for doing data science. A lot of companies around the world make use of this programming language to collect insights from their data and so getting a competitive edge. Unlike any other certification, this course focuses on python which is particularly for data science. In our course content, we will ensure that you learn about the powerful ways to store and manipulate data as well as cool data science to start your analysis.

The major advantages of learning this Data Science with Python Training in Navalur are

  • It is favoured over Data Science Devices – The language python becomes Pythonic when the code is very naturally written. The various features it has put in a lot of interests within the data science community. Remaining a data science tool, python helps to explore the concepts of machine learning in the best way possible.
  • It is comfortable to learn – Being one of the most popular data analysis tools, Python stands ahead of SQL and SAS and gets near to R, which makes 3% data analysts using it. What draws interest in developers for his language is the easiness to learn.
  • Remarkably Scalable – This incredible language python has emerged to be a scalable language as compared to R. and also faster while using, unlike Matlab and Stata. Even YouTube has moved to python due to the wonderful scalability that lies in the versatility during problem-solving situations.
  • Data Science Libraries and Uses – The very reason for the amazing success of python is the vast availability of data science libraries for candidates learning python. These libraries are constantly updated to latest versions. If a developer has any constraints in the language, the updating process rectifies the same accordingly.                         
  • Data Science Libraries and Uses – The very reason for the amazing success of python is the vast availability of data science libraries for candidates learning python. These libraries are constantly updated to latest versions. If a developer has any constraints in the language, the updating process rectifies the same accordingly. The important libraries that are used to perform data analysis are NumPy, SciPy, Pandas, Matplotlib. Being developed on languages like SciPy, Pandas, Matplotlib Scikit-learn works as a machine learning library that leads to regression, classification, and clustering of algorithms that involve support of vector machines, random forests, and gradient boosting.

If you are looking for the best Data Science with Python Training in Navalur, our training institute in Navalur can guide you through.

Data Science with Python Training in Navalur Syllabus:

Programming Basics

What is Data Science
Your Development Environment
Python Foundations

Research Design and Exploratory Data Analysis

Exploratory Data Analysis
Experiments and Hypothesis Testing
Data Visualization in Python
Statistics in Python

Foundations of Data Modeling

Linear Regression
Evaluating Model Fit
KNN and Classification
Logistic Regression

Machine Learning

Decision Trees and Random Forest
Working with API Data
Natural Language Processing
Working with Time Series Data