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Data Analysis - Python, SQL, Excel And Power BI Course Overview
The business world is evolving rapidly, hence the need to advance your data analysis skills set to stay relevant in your career. This programme covers Excel techniques for collecting, presenting, describing and making inferences from sets of data.
This Course Is Suitable For:
- Professionals who make use of data for their day to day activities.
- Working professionals seeking to switch career, job or industry to data analysis related field.
- Organizations who want to strengthen their Data Analysis structure.
- Problem Solvers & Thinkers.
Course Content
Data Analysis And Visualization With Python
- Introduction To Python For Data Analysis
- Data Manipulation With Pandas
- Data Visualization With Matplotlib And Seaborn
- Exploratory Data Analysis (EDA) Techniques
- Statistical Analysis With Python
- Machine Learning For Data Analysis
SQL For Data Analysis
- Introduction To SQL And Relational Databases
- Querying Data With SQL
- Filtering, Sorting, And Joining Data
- Aggregating And Grouping Data
- Subqueries And Advanced SQL Techniques
- Working With Views And Stored Procedures
Excel For Data Analysis
- Introduction To Excel For Data Analysis
- Data Cleaning And Preparation In Excel
- Formulas And Functions For Data Analysis
- Pivot Tables And Data Visualization In Excel
- Advanced Excel Techniques For Data Analysis
- Automating Data Analysis Tasks In Excel
Power BI For Data Analysis And Visualization
- Introduction To Power BI And Data Modeling
- Importing And Transforming Data In Power BI
- Creating And Formatting Visualizations In Power BI
- Building Interactive Dashboards In Power BI
- Applying Advanced Analytics In Power BI
- Sharing And Collaborating On Power BI Reports
Data Analysis - Tuition Fees, Days & Time For Upcoming Classes
COURSE OBJECTIVE: the aim of this course is to impart relevant skills for data management, analysis and effective use of data analytics tools.
Our Academy
