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Language: English
Validity Period: 90 days
Why this course?
Step into the world of data analysis with our Python Data Analyst Career Accelerator. This bundle is designed to equip you with the essential skills required to become a proficient data analyst. Over the course of 60 hours, you will master Python programming, understand fundamental concepts in data science, and gain hands-on experience in data analysis techniques.
Python Programming
Duration: 20 Hours
Description: Begin your journey with Python, one of the most popular programming languages in data science. Learn the basics of syntax, data structures, and advanced topics. This module lays the foundation for your data analysis journey.
Key Topics:
Variables and Data Types
Control Structures
Functions and Modules
Essential Libraries: NumPy, Pandas
Data Science Fundamentals
Duration: 20 Hours
Description: Grasp the core principles of data science, including statistics and probability. This module covers the theoretical concepts that underpin data analysis and introduces you to data wrangling and preprocessing techniques.
Key Topics:
Statistical Analysis
Probability Theory
Data Wrangling and Cleaning
Data Visualization
Data Analysis Practicals
Duration: 20 Hours
Description: Apply your knowledge through practical data analysis projects. This module focuses on real-world applications, teaching you how to analyze and interpret data to derive actionable insights.
Key Topics:
Exploratory Data Analysis (EDA)
Data Visualization Techniques
Machine Learning Basics
Case Studies and Projects
Comprehensive Curriculum: Covers everything from the basics to advanced data analysis techniques.
Hands-On Experience: Practical projects and real-world applications to enhance learning.
Expert Instructors: Learn from industry experts with years of experience.
Flexible Learning: Access materials anytime, anywhere, at your own pace.
Career Support: Get guidance and support to kickstart your career in data analysis.
Aspiring Data Analysts
Data Scientists
Software Developers
Tech Enthusiasts looking to expand their skill set
By the end of this pathway, you'll have a strong understanding of Python programming, data science fundamentals, and data analysis techniques. You'll be well-equipped to tackle real-world data challenges and advance your career as a data analyst.
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