Data Science with Python

About Course

Data Science with Python is an advanced course designed to equip you with the skills needed to analyze and interpret complex data. Our course at Excerpt IT Training Services covers a wide range of topics including data manipulation with Pandas, data visualization with Matplotlib and Seaborn, and machine learning with Scikit-Learn. You'll gain practical experience through hands-on projects and real-world data scenarios. The course emphasizes the application of Python in data science, providing a strong foundation in data analysis, statistical modeling, and machine learning. Excerpt IT Training Services offers lifetime access to course materials and additional coaching to support your learning journey. Our certification will boost your career prospects in the field of data science.

Topics include

Introduction to Data Science

• Overview of Data Science
• Data Science Process and Lifecycle
• Introduction to Python for Data Science

Data Manipulation and Analysis

• Data Cleaning and Preprocessing with Pandas
• Exploratory Data Analysis (EDA)
• Handling Missing Data and Outliers
• Data Aggregation and Grouping

Data Visualization

• Introduction to Matplotlib
• Creating Plots and Graphs
• Advanced Visualization Techniques with Seaborn
• Interactive Visualizations with Plotly

Machine Learning Fundamentals

• Introduction to Machine Learning
• Supervised Learning Algorithms
• Unsupervised Learning Algorithms
• Model Evaluation and Validation

Advanced Machine Learning

• Feature Engineering and Selection
• Hyperparameter Tuning
• Deep Learning Basics with TensorFlow/Keras
• Natural Language Processing (NLP)

Project and Case Studies

• Real-World Data Science Projects
• Case Studies and Practical Applications
• Building End-to-End Data Science Solutions

Project Work

• Developing a Predictive Analytics Model
• Building a Machine Learning Model with Scikit-Learn

Duration: 3 months