Advanced Excel For Data Analysis Course in Karachi

Duration: 40 hours

Difficulty Level: Basic to Intermediate Level

This Training also includes:

Physical On-Campus and Online Training

Hands-On Case Study based learning

Expert Guidance

Lifetime WhatsApp support

Networking community access

Government Endorsed Certificate

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Data Science and Analytics (MS Excel, Sql, Python, Power BI, Tableau and R Language)

( 5.0 )

Program Overview

This training program is tailored for professionals looking to enhance their Data Science skills with a focus on widely-used tools such as MS Excel, Python, Power BI, Tableau and R language. It combines theoretical knowledge with practical application to ensure that participants can effectively use these tools in their work environment.

Training Outline

Module 1 Introduction to Data Science

Definition and importance

Data science workflow

Applications in various industries

Module 2 Data Analysis with Excel

Advanced Excel functions and formulas

Data cleaning and preparation in MS Excel

PivotTables and PivotCharts

Module 3 HiPower BI with Tools

Power Query advanced applications

Data modeling with Power Pivot

DAX for data analysis

Module 4 Data Visualization with Power BI

Overview of Power BI interface

Connecting to data sources

Creating and customizing visualizations

Building interactive dashboards

Sharing and publishing reports

Module 5 Advanced Data Visualization with Tableau

Getting started with Tableau

Data connections and preparation

Creating advanced visualizations

Dashboard design best practices

Storytelling with data

Module 6 Programming for Data Science with Python

Python programming basics

Key libraries: NumPy, pandas, matplotlib, seaborn, markdown

Data manipulation and analysis

Basic machine learning with scikit-learn

Module 7A Foundation of SQL and Databases

What is SQL and why is it used?

Flavors of SQL

Tables rows and columns

Concept of ERD (Entity Relationship Diagram)

Module 7B Statements, Function and Analysis using SQL

Syntax Familiarity of Select Statements and Techniques of Ordering and filtering Results Using WHERE clause

Sum, Count, min, max, Data types, Functions and Calculations

SQL for Data Analytics (Project based Learning)

Module 8 Statements, Function and Analysis using SQL

Introduction to R programming

Data manipulation with dplyr

Data visualization with ggplot2

Statistical analysis and modeling

Learning Outcomes

Acquire practical proficiency in utilizing MS Excel for comprehensive data analysis, including data cleaning, manipulation, and basic statistical functions, enabling accurate and efficient data-driven decisions

Get predictive insights by applying Python programming for data science, including data manipulation, statistical analysis, and machine learning, fostering the ability to automate tasks

Develop the capability to create interactive, business-centric dashboards and reports using Power BI

Master advanced data visualization techniques with Tableau, allowing you to craft compelling, high-impact dashboards and visual stories

Achieve proficiency in R for statistical analysis and data visualization, equipping you to perform sophisticated analyses and create detailed visualizations that highlight key data trends and patterns

Features and Benefits

Holistic Data Science Workflow

Excel Mastery

Power BI Proficiency

Tableau Proficiency

Programming with Python

R Programming Proficiency

Trainer Profile

M. Rafay Shaikh

M. Rafay Shaikh’s technical expertise includes Data Science, Power BI, PySpark, Python, Photoshop, Computer Vision, Machine Learning, Web Development, and Azure DevOps. He has led projects like a Book Recommender System, an NLP-based medical diary, and Lungs Cancer Detection using CNN. He holds an MS in Software Engineering and a BS in Software Engineering from Sir Syed University Rafay Shaikh is a skilled Lecturer at Sir Syed University of Engineering and Technology, where he teaches Web Engineering and Introduction to Computing. He also coordinates the departmental CMS, oversees the AI Lab, and advises the IEEE Computational Society at SSUET. Rafay was recognized with 2nd place in the Faculty Training Program by Sindh HEC.

Rafay has also held leadership roles in IEEE Karachi Section, organizing numerous events and sessions. He is the Founding Advisor of the IEEE Computational Intelligence Society at SSUET.

Previously, Rafay was an IT Support Engineer at Dumb TV, managing websites, domains, servers, and social media.

Data Science and Analytics (MS Excel,Sql, Python, Power BI, Tableau and R Language) : Harness the Power of Data: Excel to R from the Ultimate Data Toolkit