DATA ANALYTICS USING PYTHON

DATA ANALYTICS USING PYTHON

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Python Data Analytics Course in Noida Overview

Welcome to Ducat India, the leading institute for IT training and certification, where we equip you with the essential skills to excel in the field of data analytics. Our Data Analytics Using Python Course is meticulously designed to help you master the art of data manipulation, visualization, and machine learning using Python—a powerful and widely-used programming language in the data analytics industry. With Python's extensive libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn, you'll learn to transform raw data into actionable insights that drive business decisions.

Why Choose Ducat for Python Data Analytics Course?

At Ducat India, we are committed to delivering high-quality, practical, and comprehensive training. Ducat is the best Data Analytics Institute in Noida to learn Python Data Analytics Course which is taught by industry experts with years of experience in Python programming and data analytics, ensuring you receive the best possible education.

Benefits of choosing Ducat India:

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Learn The Essential Skills

Learn The Essential Skills

Earn Certificates And Degrees

Earn Certificates And Degrees

Get Ready for The Next Career

Get Ready for The Next Career

Master at Different Areas

Master at Different Areas

What will you learn?

  • Python Basics for Data Analytics: Understand Python fundamentals, including syntax, data types, and control structures tailored for data analysis.
  • Data Manipulation with Pandas: Gain skills in using the Pandas library for data cleaning, manipulation, and analysis.
  • Data Visualization with Matplotlib and Seaborn: Learn to create insightful visualizations using Matplotlib and Seaborn libraries.
  • Statistical Analysis and Hypothesis Testing: Explore statistical methods and hypothesis testing to derive meaningful insights from data.
  • Machine Learning with Scikit-Learn: Master the application of machine learning algorithms using Scikit-Learn for predictive analytics.

Skill you will gain

  • Data Cleaning and Preprocessing

  • Exploratory Data Analysis (EDA)

  • Statistical Analysis and Hypothesis Testing

  • Data Mining and Pattern Recognition

Explore Modules of this course

Module 1: Introduction to Data Analytics

Understanding the fundamentals of Data Analytics and its applications. Overview of Python as a tool for data analysis.

Module 2: Python Basics for Data Analytics

Learning the basics of Python programming relevant to data analysis. Data types, variables, loops, and functions.

Module 3: Data Cleaning and Preprocessing

Techniques for cleaning and preparing data for analysis. Handling missing values, outliers, and data transformations.

Module 4: Exploratory Data Analysis (EDA)

Visualizing and summarizing data to extract insights. Identifying patterns, trends, and relationships.

Module 5: Statistical Analysis with Python

Applying statistical techniques for inference and hypothesis testing. Descriptive statistics, hypothesis tests, and correlation analysis.

Module 6: Data Visualization and Presentation

Creating informative and visually appealing plots and charts. Using libraries like Matplotlib and Seaborn.

Module 7: Predictive Modeling and Machine Learning

Building predictive models using machine learning algorithms. Regression, classification, and model evaluation techniques.

Module 8: Time Series Analysis

Analyzing time-dependent data for forecasting and trend identification. Techniques like moving averages and ARIMA models.

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