Unlock the power of Data Science with this comprehensive course

Mastering Data with Power BI, SQL, Python, and Tableau

Course Description:

Embark on a journey to become a skilled data analyst and data scientist. This course equips you with the essential tools and techniques to extract valuable insights from raw data using Power BI, SQL, Python, and Tableau.

Module 1: Introduction to Data Analysis

• Understanding the role of data in decision-making

• Data collection and sources

• Data cleaning and preprocessing techniques (handling missing values, outliers, and inconsistencies)

• Data exploration and visualization using basic tools (e.g., Excel, Google Sheets)

Module 2: SQL for Data Manipulation

• Introduction to SQL syntax and concepts

• Creating, selecting, and modifying data in databases

• Joining and aggregating data from multiple tables

• Writing efficient SQL queries for data analysis

Module 3: Python for Data Science

• Introduction to Python programming for data analysis

• Using NumPy for numerical computations and array operations

• Working with Pandas for data manipulation and analysis

• Data visualization with Matplotlib and Seaborn

• Building predictive models using machine learning algorithms (e.g., linear regression, decision trees, random forests)

Module 4: Power BI for Data Visualization

• Introduction to Power BI and its capabilities

• Connecting to various data sources (e.g., Excel, SQL databases, CSV files)

• Data modeling and transformation

• Creating interactive dashboards and reports using different visualization types (e.g., bar charts, line charts, pie charts)

• Adding filters, slicers, and drill-down capabilities for interactive exploration

Module 5: Tableau for Data Visualization

• Introduction to Tableau and its drag-and-drop interface

• Connecting to data sources and building visualizations

• Using Tableau's built-in functions and calculations for data analysis

• Creating interactive dashboards and stories

• Leveraging Tableau's advanced features for data visualization (e.g., maps, geographic hierarchies)

Course Outcomes:

• Enhanced data analysis skills: Ability to collect, clean, and analyze data effectively.

• Proficiency in data visualization tools: Create compelling and informative visualizations.

• Knowledge of data science techniques: Apply machine learning algorithms for predictive modeling.

• Confidence in using industry-standard tools: Master Power BI, SQL, Python, and Tableau.

Join this course to transform your data into actionable insights and drive business success.

Ready to upskill in today's digital world?

Contact Vissicomp Institute at tel:9320957717

or visit their website, Vissicomp.in , to explore their comprehensive Digital training options.