Data Analytics Course Overview:
Explore the world of data analytics with Python in this comprehensive course designed to equip you with the skills needed to analyze and interpret data effectively.

Enroll Now $49/-
Course Curriculum:
Module 1: Introduction to Python for Data Analytics
- Setting up Python environment for data analysis
- Introduction to Python programming for data science
- Working with data types and structures in Python
- Control flow and loops for data manipulation
Module 2: Introduction to Data Analysis Libraries
- Installing and configuring essential data analysis libraries (NumPy, Pandas)
- Exploring data using NumPy arrays
- Manipulating and analyzing data with Pandas DataFrames
- Basic data visualization techniques
Module 3: Data Cleaning and Preprocessing
- Handling missing data
- Data normalization and standardization
- Removing duplicates and outliers
- Data transformation techniques
Module 4: Exploratory Data Analysis (EDA)
- Descriptive statistics and summary metrics
- Data visualization for exploration
- Correlation analysis
- Identifying patterns and trends in data
Module 5: Advanced Data Analysis Techniques
- Statistical analysis with SciPy
- Machine learning fundamentals with scikit-learn
- Predictive modeling and regression analysis
- Clustering and classification algorithms
Module 6: Data Visualization and Presentation
- Advanced data visualization using Matplotlib and Seaborn
- Creating interactive visualizations with Plotly
- Designing effective data dashboards
- Communicating insights effectively
Module 7: Real-world Data Analytics Projects
- Hands-on projects to apply learned concepts
- Analyzing real-world datasets
- Solving data analysis challenges
- Presenting findings and insights
Enroll Now and embark on your journey to mastering Python data analytics!
