DATA ANALYTICS USING PYTHON

DATA ANALYTICS USING PYTHON

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Join the program and get the opportunity to learn under the guidance of an data analytics using python specialist.

DATA ANALYTICS USING PYTHON

Expertise

prof trained

80000+

Professionals Trained
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50+

Industry Expert Trainers
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8 Branches

In NCR
corporate

2500+

Corporate Served

Course Duration

--

Certificate

Yes

Live Project

--

Training Mode

Classroom / Online

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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 prepare you to excel in the field of data analytics. Our Data Analytics Using Python Course is meticulously designed to equip you with expertise in data manipulation, visualization, and machine learning using Python—one of the most sought-after programming languages in the data analytics industry. Harness Python’s powerful libraries like Pandas, NumPy, Matplotlib, and Scikit-learn to transform raw data into actionable insights that drive business success.


Why Choose Ducat for Data Analytics Course in Noida?

At Ducat India, we are committed to delivering high-quality, practical, and comprehensive training. As the best Data Analytics Institute in Noida, we provide courses taught by seasoned industry experts, ensuring a robust and practical learning experience.

Top Reasons to Choose Ducat:

  • Expert Instructors: Learn from certified professionals with extensive industry experience.

  • Hands-On Training: Gain practical knowledge through interactive labs and real-world projects.

  • Flexible Learning Modes: Opt for classroom, online, or hybrid training.

  • Comprehensive Curriculum:

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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

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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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