Python Excel BI
Full-stack data science covers the entire spectrum of data handling, from gathering and manipulating data to backend processing, model deployment, and the implementation of complete machine learning solutions including natural language processing (NLP), computer vision (CV), and traditional machine learning algorithms. This approach integrates the entire pipeline of data science workflows into a cohesive skill set, allowing professionals to manage and execute projects from start to finish.
Skills You Will Gain
Machine Learning
Deep Learning
SQL
DJango
NLP
Wordcloud
ANN
Python
LSTM
Database
Docker
Flask
Redis
Kafka
Numpy
Image Processing
CNN
This course includes
- 1 : 1 Session
- Certificate
- 4 Weeks + Projects
- Real TIme Project Training
Syllabus Overview
Python Excel BI
- Introduce the basics of Excel for data manipulation and visualization.
- Topics Covered:
- Excel basics: Spreadsheet fundamentals, formulas, and functions.
- Introduction to data analysis tools in Excel: PivotTables, PivotCharts, and basic statistical functions.
- Creating visualizations in Excel: Charts, conditional formatting, and dashboards.
- Learning Outcomes:
- Master foundational Excel skills for data analysis.
- Create basic visual representations of data using Excel’s built-in tools.
- Assessment:
- Creation of a dashboard based on a provided dataset to visualize key business metrics.
- Topics Covered:
- Dive deeper into advanced data analysis and visualization techniques in Excel.
- Topics Covered:
- Advanced charting techniques and custom visualizations.
- Using Excel’s advanced analysis tools like Solver and the Analysis ToolPak.
- Automating tasks with macros and introducing VBA for custom functions.
- Learning Outcomes:
- Develop complex visualizations and dynamic charts.
- Utilize Excel’s full suite of tools to streamline data analysis tasks.
- Assessment:
- A project that requires automating data analysis tasks and creating an interactive Excel report.
- Topics Covered:
- Introduce Python and its powerful libraries for data manipulation and visualization.
- Topics Covered:
- Basics of Python programming: Data types, control structures, functions, and modules.
- Introduction to libraries such as NumPy and pandas for data manipulation.
- Creating visualizations using Matplotlib and seaborn.
- Learning Outcomes:
- Understand Python’s role in data analysis and learn to manipulate data using pandas.
- Create static, animated, and interactive visualizations with Python.
- Assessment:
- Develop several data visualizations to illustrate trends and insights from a real-world dataset.
- Topics Covered:
- Master advanced data visualization techniques using Python.
- Topics Covered:
- Advanced plotting with Matplotlib and seaborn: Customization and styling.
- Introduction to interactive visualization tools like Plotly and Dash.
- Techniques for creating geographical data visualizations with libraries such as GeoPandas and Folium.
- Learning Outcomes:
- Create advanced and customized visual plots suitable for professional data analysis reports.
- Develop interactive and geographical visualizations to handle complex visualization needs.
- Assessment:
- A capstone project where students must use Python to create a comprehensive visualization dashboard from complex datasets.
- Topics Covered:
- Apply both Excel and Python skills to a real-world data visualization project.
- Topics Covered:
- Integrative use of Excel and Python: Leveraging strengths of both for data analysis.
- Advanced data preparation techniques merging both platforms.
- Presentation and storytelling with data.
- Learning Outcomes:
- Seamlessly integrate Excel and Python to maximize data analysis and visualization capabilities.
- Communicate data-driven insights effectively using both static and interactive visualizations.
- Assessment:
- Final project presentation that involves preparing, analyzing, and visually presenting data using both Excel and Python.
- Topics Covered:
- Workshops: Regular sessions on the latest trends in data visualization.
- Guest Lectures: Insights from industry leaders in data analysis and visualization.
- Peer Reviews: Encouraging collaborative learning through peer review sessions of project work.
Transform Your Skills: Enroll Now to Learn
Speak to our career counsellor for detailed overview of SCAI Data Science Course. For a more detailed explanation of what SCAI Data Science can offer don’t hesitate to contact our team today. We will set up a personalized demo and meeting with our experts and counsellors who can answers questions you may have Let’s take your career to next level with SCAI!! If you’re interested in upskilling your career with a data science course, SCAI offers a comprehensive program designed to equip you with the necessary skills knowledge for success in this field.
