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Data Analytics with Python Course Info

This 100-hour Data Analytics with Python Course covers foundational, intermediate, and advanced topics to help participants understand Python’s role in data analytics. Our Python Data Analytics Courses go beyond the basics to provide a comprehensive understanding of how Python can be used to extract insights from data.

Graduates emerge equipped with the tools to tackle complex data challenges, making informed decisions in real-world scenarios. Get the advantage of our Python Data Analytics Courses with flexible EMI options. You will receive a detailed syllabus for the Tableau course and a certification when you finish it. Elevate your career with actionable data insights, setting the stage for success in the dynamic field of data analytics! With our Python Data Analytics Courses, you can unlock the power of Python to transform raw data into valuable insights.

Our syllabus covers data manipulation, visualization, statistical analysis, and machine learning for beginners and professionals. By mastering these skills, you’ll be equipped to make data-driven decisions that can drive success in any industry. Advance your career and gain a competitive edge in the growing field of data analytics! Don’t miss this opportunity!

The hourly breakdown is indicative and may vary based on the pace of the class and additional interactive activities.

Practical exercises, case studies, and real-world applications should be incorporated throughout the sessions to reinforce learning.

Data Analytics with Python Course Content

Introduction to Python for Data Analysis (5 hours)

Lesson 1: Overview of Python programming language
Lesson 2: Installation and setup of Python and Jupyter Notebooks
Lesson 3: Basics of Python syntax and data structures

Working with Python Libraries (15 hours)

Lesson 1: Introduction to NumPy for numerical operations
Lesson 2: Data manipulation with Pandas
Lesson 3: Exploratory data analysis using Python

Cleaning and Preparing Data (10 hours)

Lesson 1: Identifying and handling missing data
Lesson 2: Dealing with outliers and anomalies
Lesson 3: Data imputation techniques

Transforming Data with Pandas and NumPy (10 hours)

Lesson 1: Advanced data transformations using Pandas
Lesson 2: Feature engineering and creation of new variables
Lesson 3: Data aggregation and grouping operations

Statistical Analysis with Python (10 hours)

Lesson 1: Application of statistical methods using Python
Lesson 2: Hypothesis testing and confidence intervals
Lesson 3: Regression analysis with statsmodels and scikit-learn

Creating Basic Visualizations (10 hours)

Lesson 1: Introduction to Matplotlib and Seaborn
Lesson 2: Building bar plots, line charts, and scatter plots
Lesson 3: Customizing visualizations for effective communication

Advanced Visualization Techniques (10 hours)

Lesson 1: Interactive visualizations with Plotly and Bokeh
Lesson 2: Geographic data visualization with Folium
Lesson 3: Dashboard creation using Dash

Introduction to Machine Learning (5 hours)

Lesson 1: Overview of machine learning concepts
Lesson 2: Types of machine learning algorithms

Implementing Basic ML Algorithms (15 hours)

Lesson 1: Linear regression, logistic regression
Lesson 2: Decision trees and random forests
Lesson 3: Introduction to clustering and classification algorithms

Capstone Project (10 hours)

Lesson 1: Real-world application of learned skills
Lesson 2: Guidance on building a comprehensive data analysis portfolio

Special Offer take any 4 courses for INR 21999.00*

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Data Analytics with Python Course Info

Data Analytics with Python Course Content

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