Data Analytics Course with Python
Data Analytics Course with Python enables you to extract insights from data to help make decisions for the future. Python is the most preferred programming language for Data Science Professionals and this course covers various Libraries and Frameworks that Python has to offer. Along with the concepts you get to work on real-world projects.
About Data Analytics with Python Course
- Prerequisites – Python Basics and familiarity with Python Intermediate. If you are new to Python, we strongly recommend you to take a look at our course offerings for Python For Beginners and Intermediate Python.
- You get to learn with the best trainers in the country.
- Exposure to how a Data Science Professional goes about doing things on a project.
- Hands-on practice and doubt clearing during the class hours.
- Both Online and Classroom modes offered.
- We focus on practical training that stays with you long after the course ends.
Benefits of taking the Python Data Analytics Course
- The Data Analytics course will cover all the concepts to get you started.
- Hands-on practice during the class.
- The curriculum is designed by industry experts with years of experience.
- Future proof your career with the programming language of tomorrow.
- Be a part of the data-savvy world by transitioning to the hottest job profile of the 21st century.
- One of the best paying job profiles of the 21st century.
Python Data Analysis Course Key Takeaways
- After finishing the Data Analytics Course, you will be able to extract the insights that data has to offer.
- Study material curated by Industry experts.
- Certification on successful completion of course.
Data Analytics Course Outline
Module 1
The target of this module is to comprehend how to gather data from external sources into the Python environment and manipulate and analyse data. You should utilise statistical algorithms and ways to analyse data before creating any data analytics project.- Understand Python packages for data manipulation
- Understand how to import and export datasets
- Understand the fundamentals of analyzing the data
Module 2
The target of this module is to know about Data Wrangling. Python libraries can allow you to work with data inconsistencies and problems. About 80% of data scientists and engineers invest their time in this.- Comprehend how to deal with data issues and preparation
- Understand how to format data and conversions in Python
- Understand how to work with Pandas
Module 3
The target of this module is to comprehend experimental data analysis. EDA is a way to analyse data through visual methods.- Understand how to perform detailed statistics with Python
- Understand Correlations, Scatter-plots, and charts with Matplotlib
- Understand data analysis with respect to different business scenarios
Module 4
The target of this module is to comprehend Supervised Machine Learning. This module will instruct you on famous algorithms in regression and classification and provide students with knowledge of how the algorithms work.- Create Series and DataFrames
- Load and Save pandas Data
- Analyze Data in DataFrames
- Slice and Filter Data in DataFrames
Module 5
The target of this module is to know Data Visualisation, metrics, and KPIs of different business cases for data analysis.- Understand basic metrics and KPIs
- Understand Visualizations using Python (Seaborn, Folium)
