Koenig Original Guaranteed-to-Run

Data Analysis Using Pandas Beginner

The Data Analysis Using Pandas course by Koenig Original equips data analysts and aspiring data scientists with essential skills to clean, manipulate, and analyze real-world datasets using Python’s Pandas library, solving the critical industry challenge of deriving actionable insights from unstructured data. With over 157,000 data analyst roles projected by the U.S. Bureau of Labor Statistics by 2030, this course bridges the skills gap through hands-on training in Series, DataFrames, GroupBy, and time series analysis.

This course prepares learners for the Certified Associate Data Analyst with Python (PCAD) certification, enhancing career readiness with Koenig’s Guaranteed-to-Run live training model. Graduates gain 30-day lab access to reinforce skills, enabling confident entry into high-demand roles such as data analyst or business intelligence specialist.

16 Hours (2 Days)
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Course Overview

The Data Analysis Using Pandas course by Koenig Original is designed for data analysts, business intelligence professionals, and aspiring data scientists seeking to master Python-based data manipulation. This comprehensive program focuses on equipping learners with practical skills in data cleaning, transformation, and exploratory data analysis using the pandas library. With 83% of data science professionals citing Python as their primary tool, proficiency in pandas is critical for extracting insights from real-world datasets. The course prepares participants for data-driven decision-making roles across industries including finance, healthcare, and technology, where demand for skilled analysts continues to grow rapidly.

Participants engage with key tools in the Python data science stack, including pandas, NumPy, Matplotlib, Seaborn, and JupyterLab, all within a hands-on lab environment. Through guided exercises, students build and configure data analysis pipelines using real datasets, performing tasks such as filtering, grouping, merging, and aggregating data. A core component of the course is a hands-on lab project where learners analyze the Titanic dataset, applying data wrangling and visualization techniques to uncover survival trends and patterns. The lab environment, delivered through Jupyter Notebooks, mirrors real-world data science workflows and enables immediate application of concepts.

This Koenig Original course enhances career readiness by preparing participants for data analyst roles and foundational certifications in data science. Graduates report an average salary increase of 20-30% when transitioning into data-focused positions, reflecting the high market value of these skills. A key differentiator of Koenig’s training is its Guaranteed-to-Run scheduling and access to official courseware with 1-on-1 learning options. By mastering pandas and associated tools, learners position themselves for advancement in high-growth fields such as data science, machine learning, and business analytics, where Python expertise is a foundational requirement.

What You'll Learn

Construct efficient data pipelines by utilizing .loc and .iloc indexers for precise data selection and manipulation.
Execute complex data transformations and merges using .merge() and .join() to integrate disparate datasets.
Transform raw datasets by implementing advanced cleaning techniques to handle missing values and outliers effectively.
Optimize data summarization workflows by applying .pivot_table() and advanced GroupBy operations for multi-dimensional analysis.
Manage hierarchical data structures by manipulating MultiIndex objects to organize and query complex datasets.
Visualize and analyze time series data by applying specialized date-time indexing and resampling methods for operational analytics.

Skills You'll Gain

Pandas DataFrames Data Analysis with Pandas Pandas Data Cleaning Pandas Data Manipulation Pandas Data Aggregation Pandas Series Operations Missing Data Handling Pandas GroupBy Operations Pandas Merging and Joining Pandas Data Filtering Pandas Time Series Pandas Statistical Analysis Pandas Data Visualization Koenig Pandas Training Pandas File I/O Pandas SQL Operations Pandas Data Transformation

Prerequisites

Recommended knowledge before taking this course
  • Basic Python programming skills essential for mastering Data Analysis Using Pandas by Koenig Original
  • Familiarity with CSV and Excel file formats helps you efficiently handle data in Pandas
  • Understanding core Python data structures like lists, dictionaries, and DataFrames supports effective data manipulation
  • Fundamental knowledge of descriptive statistics such as mean, median, variance, and correlation enhances your data analysis skills
  • Experience with Jupyter Notebooks for Python development accelerates your learning curve in Data Analysis Using Pandas
  • Ability to perform basic data filtering, sorting, and grouping operations in Python is crucial for successful data analysis with Pandas
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Certification Exam

Everything you need to know about the Data Analysis Using Pandas certification exam

Exam Details
Exam Name
Data Analysis Using Pandas
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
No mandatory cooling-off period; retakes are available upon payment of an additional fee
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Data Analysis Using Pandas

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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Pandas Fundamentals and Data Structures
Core Data Analysis concepts explained Installing and importing Pandas library Mastering Series and DataFrames objects Building DataFrames from Python dictionaries Importing CSV and Excel datasets Essential DataFrame attributes and methods Efficiently selecting columns and rows Advanced Indexing and slicing techniques
2
Day 2– Advanced Data Manipulation and Cleaning
Filtering DataFrames using conditional logic Sorting and ranking complex datasets Handling missing values with precision Removing duplicates to ensure accuracy Applying custom functions to data Executing string operations on text Optimizing data type conversion processes Renaming and reordering DataFrame columns
3
Day 3– Data Aggregation and Grouping Operations
Executing powerful GroupBy operations Mastering Split-Apply-Combine data strategy Aggregating data with multiple functions Transforming groups for deeper insights Pivoting and melting complex data Creating crosstabs for frequency analysis Using MultiIndex for hierarchical structures Advanced indexing with loc and iloc
4
Day 4– Data Merging and Time Series Analysis
Merging DataFrames for unified views Concatenating disparate datasets efficiently Understanding SQL-style join types Reshaping wide and long data formats Parsing date columns for analysis Managing global time zone data Resampling time series data trends Calculating rolling window statistics accurately

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

78%

of Data Analysis Using Pandas certified professionals report career advancement within 6 months

Salary Impact

+22%

Average salary increase reported after obtaining the Data Analysis Using Pandas certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

5
  • Data Analyst
  • Python Data Analyst
  • Data Quality Analyst
  • Business Intelligence Analyst
  • Data Operations Specialist

Companies Hiring

5,000+
Microsoft Amazon Google Deloitte Accenture Capgemini IBM Wipro TCS Infosys

and 5,000+ organizations worldwide seeking Data Analysis Using Pandas certified professionals

Real Transformations

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

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    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

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  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

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    Business Intelligence Lead

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  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

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    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

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    James T.

    James T.

    Head of L&D, UK Enterprise

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  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

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    Security Analyst

    SC-300 Certified ✓ Verified
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    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

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    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

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    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

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    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

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    Engineering Manager

    AZ-400 Team Training ✓ Verified
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