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Data Analysis and Predictive Modelling Using Python Intermediate

The Data Analysis and Predictive Modelling Using Python course by Python Institute equips aspiring data analysts and junior data scientists with end-to-end skills to transform raw data into actionable insights, solving the critical industry challenge of deriving value from unstructured datasets. Learners master Python-based tools like Pandas, NumPy, Matplotlib, and Seaborn for data acquisition, cleaning, statistical analysis, and predictive modeling—skills demanded in 75% of entry-level data roles according to recent Python Institute labor market analysis.

This course prepares candidates for the PCAD™ – Certified Associate Data Analyst with Python certification exam (PCAD-31-02), featuring official vendor-authorized courseware and 30-day lab access at Koenig Solutions. Graduates gain practical proficiency in regression modeling, data visualization, and SQL integration, enabling them to confidently enter the data analytics workforce or advance toward the PCPD professional certification.

56 Hours (7 Days)
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Course Overview

The Data Analysis and Predictive Modelling Using Python course by Python Institute is designed for aspiring data analysts and junior data scientists seeking to master end-to-end data workflows using Python. This course prepares candidates specifically for the PCAD – Certified Associate Data Analyst with Python certification (Exam PCAD-31-02), validating skills in data acquisition, cleaning, analysis, modeling, and visualization. It serves roles such as Data Analyst, Junior Data Scientist, and Business Intelligence Analyst. With over 2.5 million data-related job postings in the U.S. alone requiring Python proficiency, this course meets growing industry demand for professionals who can derive insights using Python-based tools and methodologies.

Learners gain hands-on experience with core Python libraries including Pandas, NumPy, Matplotlib, and Seaborn, alongside SQL for database querying and integration. The lab environment emphasizes real-world application, where students build and evaluate predictive models using linear and logistic regression techniques, assess model accuracy, and interpret results. A key project involves analyzing a comprehensive dataset—from preprocessing through model evaluation—and creating visualizations to communicate findings effectively. These practical exercises simulate actual data workflows used in analytics roles, ensuring students develop job-ready skills aligned with industry standards.

This training prepares candidates for the globally recognized PCAD certification, which validates foundational data analysis competencies and is part of a structured pathway leading to the PCPD – Certified Professional Data Analyst with Python. Certified professionals report career advancements, with entry-level data analysts earning median salaries between $65,000 and $80,000 in North America. Koenig Solutions enhances preparation with official courseware, hands-on labs, and Guaranteed-to-Run scheduling, ensuring learners can train reliably. Completing the Data Analysis and Predictive Modelling Using Python course empowers individuals to confidently enter the data analytics field and contribute to data-driven decision-making in modern organizations.

What You'll Learn

Execute efficient data manipulation using NumPy and Pandas to optimize complex data structures for predictive workflows.
Normalize and clean raw datasets to ensure high-quality inputs for statistical modeling and feature engineering.
Vectorize mathematical operations to perform rapid exploratory data analysis and identify latent patterns in large-scale datasets.
Implement Linear Regression and Logistic Regression models to predict continuous and categorical outcomes based on historical data.
Deploy Random Forest and Decision Tree algorithms to evaluate feature importance and improve predictive accuracy.
Visualize model performance metrics and residual diagnostics to validate predictive reliability and interpretability.

Skills You'll Gain

Python Data Analysis Pandas Data Manipulation NumPy Arrays Matplotlib Visualization Seaborn Charts Python Statistics Descriptive Statistics Inferential Statistics Data Cleaning Exploratory Data Analysis Regression Analysis Model Evaluation Python SQL Integration Data Validation Predictive Modeling Data Visualization Object-Oriented Python

Prerequisites

Recommended knowledge before taking this course
  • Foundational knowledge of Linear Algebra, Calculus, Probability, and Statistics (descriptive and inferential) essential for effective data analysis and predictive modeling using Python.
  • Familiarity with core Python programming concepts such as variables, data types, control flow, and functions to build robust data analysis scripts.
  • Proficiency with NumPy and Pandas libraries, which are the industry standards for data manipulation and predictive modeling using Python.
  • Experience handling files and datasets in Python, including CSV and text files, to prepare data for analysis.
  • Understanding of data structures like lists, dictionaries, and tuples in Python to organize and manipulate data efficiently.
  • Exposure to data cleaning techniques, including managing missing or invalid values, to ensure accurate predictive models.
  • Prior completion of PCEP™ (Certified Entry-Level Python Programmer) or equivalent knowledge, providing a foundation for advanced data analysis and predictive modeling using Python, as aligned with Python Institute standards.
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Certification Exam

Everything you need to know about the Data Analysis and Predictive Modelling Using Python certification exam

Exam Details
Exam Name
Data Analysis and Predictive Modelling Using Python
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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Course Curriculum

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

1
Day 1– Mastering Data Analytics Fundamentals
Classify data types and sources Map full data lifecycle stages Navigate ethical and legal standards Understand foundational data analysis principles Execute standard data analytics workflows Model real-world business data scenarios Engage through interactive Python exercises Validate core Data Analysis and Predictive Modelling Using Python concepts
2
Day 2– Core Python Programming Proficiency
Master variables and data types Apply strings and logic conditionals Implement efficient loops and functions Optimize lists and dictionary structures Build robust Python programming skills Develop clean, modular Python code Execute precise input/output operations Solve complex logic via control flow
3
Day 3– Advanced Data Cleaning Techniques
Import diverse files and CSVs using Pandas Identify missing values using isnull() Clean messy datasets with fillna() and dropna() Resolve inconsistent data entry errors Standardize formats for high accuracy Apply rigorous data validation techniques Prepare datasets for predictive modeling Utilize Pandas for automated cleaning
4
Day 4– Exploratory Data Analysis Mastery
Apply NumPy for vectorization and array calculations Utilize descriptive statistics methods like describe() Group and summarize complex datasets with groupby() Perform expert exploratory data analysis Calculate aggregations using Python Pandas Detect statistical anomalies in data Analyze trends using SciPy and Statsmodels Interpret complex data distributions accurately
5
Day 5– Data Visualization and Communication
Design high-impact data visualizations Master Matplotlib and Seaborn libraries Interpret charts and graphical trends Craft compelling data-driven narratives Present actionable insights to stakeholders Integrate visual and textual evidence Summarize findings for business impact Support strategic claims with data
6
Day 6– Predictive Modelling Implementation
Implement Linear Regression via Scikit-learn Execute train-test splits for model validation Apply Scikit-learn pipeline implementation Calculate model evaluation metrics like RMSE and R-squared Perform feature scaling and selection Analyze model performance and bias Optimize hyperparameters for predictive accuracy Validate predictive models in Data Analysis and Predictive Modelling Using Python

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 and Predictive Modelling Using Python certified professionals report career advancement within 6 months

Salary Impact

+22%

Average salary increase reported after obtaining the Data Analysis and Predictive Modelling Using Python 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

6
  • Data Analyst
  • Business Intelligence Analyst
  • Reporting Analyst
  • Financial Data Analyst
  • Marketing Analyst
  • Junior Data Scientist

Companies Hiring

5,000+
Google Microsoft Deloitte Accenture IBM Capgemini JPMorgan Chase Wipro Infosys Salesforce

and 5,000+ organizations worldwide seeking Data Analysis and Predictive Modelling Using Python certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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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

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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.”

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  • ★★★★★

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

    Carlos R.

    Carlos R.

    Engineering Manager

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

    “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.

    Rahul M.

    Azure Administrator

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

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “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.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

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

    Priya S.

    Priya S.

    Cloud Solutions Architect

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

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “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.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

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

    David L.

    David L.

    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.”

    Carlos R.

    Carlos R.

    Engineering Manager

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

    “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.

    Rahul M.

    Azure Administrator

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

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “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.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “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.

    Rahul M.

    Azure Administrator

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

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “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.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

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

    Priya S.

    Priya S.

    Cloud Solutions Architect

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

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “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.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

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

    Priya S.

    Priya S.

    Cloud Solutions Architect

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

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “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.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

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

    David L.

    David L.

    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.”

    Carlos R.

    Carlos R.

    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.

    David L.

    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.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
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