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This course provides an introduction to the field of data science , covering key concepts, techniques, and tools used to analyze and interpret large datasets. Topics include data wrangling, exploratory data analysis, statistical modeling, machine learning, and data visualization. Students will gain hands-on experience working with real-world datasets and tools such as Python, R, and popular libraries for data analysis. Week 1: Introduction to Data Science - Overview of data science and its applications - Introduction to Python programming language and Jupyter Notebooks - Basic data types and data structures in Python Week 2: Data Wrangling - Data cleaning techniques - Handling missing data - Data transformation and manipulation with pandas library Week 3: Exploratory Data Analysis (EDA) - Descriptive statistics - Data visualization using Matplotlib and Seaborn - Exploratory data analysis techniques Week 4: Statistical Analysis - Probability distributions and hypothesis testing - Correl...

Soft Skills in Engineering Job interviews are more important than you think. Technical skills can take you to the door of success but soft skills enhance your chances of advancing towards it. Let’s talk about the Importance of Soft Skills in Tech Job Interviews Mark Zuckerberg would not have made it to the youngest billionaire list if he were confined in a room just creating programs and writing codes. His social and interpersonal skills were deemed crucial for his massive success, and all that comes under soft skills. Looking at his career growth, it would be wise for candidates to understand the importance of soft skills development in professional life. To learn more, Click Here-  Soft Skills In Engineering