About Course
Data analyst program
The Data Analyst Training Program is a comprehensive course designed to equip participants with the knowledge and skills needed to excel in the field of data analysis. This program covers a wide range of topics, enabling participants to harness the power of data to make informed decisions, solve real-world problems, and drive business insights.
CURRICULAM
Module 1: Introduction to Data Analysis
- Understanding the role of a data analyst
- Data analysis process and workflow
- Basics of data types and data sources
- Introduction to data cleaning and preprocessing
Module 2: Data Collection and Wrangling
- Data collection methods and sources
- Web scraping and API integration
- Data extraction and transformation
- Handling missing data and outliers
Module 3: Exploratory Data Analysis (EDA)
- Data visualization techniques (Matplotlib, Seaborn)
- Descriptive statistics and summary metrics
- Data distribution and central tendency analysis
- Correlation and causation analysis
Module 4: Data Analysis with Pandas
- Introduction to Pandas for data manipulation
- Data aggregation and grouping
- Advanced querying and filtering
- Pivot tables and reshaping data
Module 5: Statistical Analysis
- Probability theory and distributions
- Hypothesis testing and p-values
- Confidence intervals and effect size
- Regression analysis (linear and logistic)
Module 6: Data Visualization
- Advanced data visualization with libraries like Plotly
- Dashboard creation with tools like Tableau
- Storytelling through data visualization
- Best practices in data visualization
Module 7: SQL for Data Analysis
- Structured Query Language (SQL) fundamentals
- Querying relational databases (SQL Server, MySQL, PostgreSQL)
- Joins and subqueries for data extraction
- Creating and modifying database tables
Module 8: Machine Learning for Data Analysis
- Introduction to machine learning concepts
- Data preprocessing for machine learning
- Supervised and unsupervised learning algorithms
- Model evaluation and performance metrics.
Course Content
Module 1
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Introduction To Data Analytics
37:47