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Applied Data Science with Python

Applied Data Science with Python Certification

SKU: N/A

Price range: US$399.00 through US$599.00

The Data Science with Python course empowers you to excel in Python programming. In this course, you’ll delve into data science, data analysis, data visualization, data wrangling, feature engineering, and statistics. Upon finishing the course, you’ll excel in using essential data science tools with Python.

Additional information

Choose an Option

Online Bootcamp, Self Study

    60+ hours of blended learning
    Interactive learning with Jupyter notebooks labs
    Industry-based projects for experiential learning
    Lifetime access to self-paced learning content
    40+ Assisted practices and lesson-wise knowledge checks
    Dedicated live sessions by faculty of industry experts

    Program Delivery Method

    Online Bootcamp: Online self-paced video-based learning and live virtual classroom conducted by the industry’s leading coaches.

    Data Analyst Learning Path

    Prerequsites

    A high school diploma or an undergraduate degree is enough. No prior programming experience is required. The Applied Data Science with Python course starts from the basics and gradually moves to advanced topics, making it ideal for beginners.

    • Data wrangling
    • Data visualization
    • Web scraping
    • Python programming concepts
    • ScikitLearn package for Natural Language Processing
    • Data exploration
    • Mathematical computing
    • Hypothesis building
    • NumPy and SciPy package
     
    • Python
    • Jupyter Notebook
    • NumPy
    • Pandas
    • SciPy
    • Matplotlib
    • Seaborn
    • Scikit Learn
    • Master the fundamentals of Applied Data Science with Python, including Python programming essentials

    • Perform data cleaning, manipulation, and analysis with Pandas and NumPy

    • Apply statistics, probability, and hypothesis testing for data driven decisions

    • Create effective data visualizations using Matplotlib and Seaborn

    • Build and evaluate machine learning models in Python with Scikit Learn

    • Use Jupyter Notebooks for hands on projects and practice

    • Gain practical skills through real world data science case studies and projects

    Data Science with Python

    • Course Introduction
    • Introduction to Data Science
    • Essentials of Python Programming
    • NumPy
    • Linear Algebra
    • Statistics Fundamentals
    • Probability Distribution
    • Advanced Statistics
    • Pandas
    • Data Analysis
    • Data Wrangling
    • Data Visualization
    • End to End Statistics Application with Python

    This Applied Data Science with Python program is ideal for anyone aiming to build a career in data science and analytics. It is perfect for recent graduates, professionals looking to switch careers, IT specialists and software developers, beginners in the data science field, statisticians and mathematicians, business intelligence experts, marketing analysts, and operations or supply chain managers who want to harness the power of data for smarter decision making.

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