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Mastering Python for Analytics (Data Visualization Focus) Intermediate

Mastering Python for Analytics by Python Institute equips data analysts, marketing analysts, and aspiring data scientists with practical Python skills to clean, analyze, and visualize data effectively. It solves the growing industry gap where 82 trained professionals have already upskilled through this program, yet demand continues rising for certified data talent who can turn raw data into actionable insights using Pandas, NumPy, and Matplotlib.

This course prepares learners for the PCAD™ – Certified Associate Data Analyst with Python exam, featuring official vendor-authorized courseware and Koenig’s Guaranteed-to-Run training schedule. With 80 hours of live instruction, graduates gain the expertise to confidently perform end-to-end data analysis and advance into higher-level data science roles.

80 Hours (10 Days)
Live Online / Classroom
82+ professionals trained

Training Formats & Pricing

1-on-1 USD 3,950
Dedicated instructor, your schedule Fastest
Public Batch USD 3,100
Group class, fixed schedule Most Popular
Self-Paced USD 199
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Course Overview

Mastering Python for Analytics by Python Institute is a comprehensive course designed to equip learners with foundational and applied data analysis skills using Python. This program specifically prepares candidates for the PCED™ – Certified Entry-Level Data Analyst with Python certification exam, serving as a critical first step in the Python Institute’s Data Science track. It is tailored for aspiring data analysts, marketing analysts, and entry-level software engineers seeking to build credibility in data-driven decision-making. With over 66% of hiring managers more likely to select certified candidates for interviews, according to Pearson VUE’s 2021 IT Certification Report, this course meets growing industry demand for skilled professionals who can transform raw data into actionable insights.

The curriculum emphasizes hands-on learning with key Python libraries including Pandas, NumPy, Matplotlib, Seaborn, and built-in modules such as csv, statistics, and datetime. Students engage in practical lab exercises within interactive coding environments like Jupyter Notebooks, where they build real-world projects such as cleaning and analyzing datasets from CSV files, performing descriptive statistics, and generating visual reports. A core component includes working with time-series data and structured datasets to simulate actual business scenarios, such as evaluating sales trends or customer behavior patterns. These labs reinforce the full data analytics pipeline—from data ingestion and transformation to visualization and insight communication—ensuring proficiency in tools widely adopted across industries.

By completing Mastering Python for Analytics, learners are fully prepared to earn the PCED™ certification, an industry-recognized credential that validates essential data analysis competencies. Certified professionals often begin their careers earning between $50,000 and $70,000 annually in the U.S., with clear pathways to advanced roles such as associate or professional data analyst. Koenig Solutions enhances this journey with Guaranteed-to-Run batches, official Python Institute courseware, and access to expert instructors for personalized guidance. Graduates gain not only technical mastery but also a competitive edge in a rapidly expanding job market driven by data-centric strategies across finance, healthcare, technology, and retail sectors.

What You'll Learn

Extract and integrate data from diverse file formats and APIs to build comprehensive datasets for complex analytics projects
Clean, transform, and standardize raw data using Pandas to ensure high-quality, analysis-ready datasets
Perform advanced numerical analysis and data manipulation using NumPy and Pandas to drive data-informed business decisions
Execute descriptive and inferential statistical tests to uncover actionable insights and validate data patterns
Develop and evaluate predictive models using Scikit-Learn, specifically implementing linear and logistic regression techniques
Build interactive data dashboards and professional visualizations with Matplotlib and Seaborn to communicate findings to stakeholders

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python syntax and semantics aligned with the PCAP – Certified Associate in Python Programming certification standards.
  • Demonstrated ability to manipulate core data structures including lists, dictionaries, and sets to handle structured datasets.
  • Competency in writing, testing, and debugging Python scripts to automate data processing workflows.
  • Foundational skills in mathematical operations and string manipulation, serving as the basis for advanced data analysis.
  • Mastery of flow control mechanisms, including conditional statements and loops, required for efficient data iteration and logic implementation.
  • PCED – Certified Entry-Level Data Analyst with Python certification or equivalent professional experience in data manipulation using NumPy and Pandas.
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Certification Exam

Everything you need to know about the Mastering Python for Analytics (Data Visualization Focus) certification exam

Exam Details
Exam Name
Mastering Python for Analytics (Data Visualization Focus)
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Retake allowed after 7 days; free retake available if voucher includes retake option
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Course Curriculum

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

1
Day 1– Data Preparation and Cleaning
Implement data pre-processing workflows Sort and filter complex datasets Ensure precise data formatting using PEP 8 standards Structure raw data for analytics Split data for training models Apply advanced data imputation techniques Standardize diverse data formats efficiently Detect and handle statistical outliers
2
Day 2– Database Integration and ORM Patterns
Apply Python 3.10+ syntax structures Solve data problems using functions Import modules and manage packages Implement robust object-oriented programming Handle exceptions in analytical scripts Execute complex SQL database queries Connect Python to SQLite3 databases Use SQLAlchemy for database interaction
3
Day 3– Advanced Statistical Analysis with SciPy
Apply descriptive statistics using SciPy Calculate central tendency measures accurately Compute vital data dispersion metrics Analyze inferential statistics fundamentals Perform hypothesis testing with Statsmodels Execute regression analysis using SciPy Calculate probability distributions Evaluate statistical significance
4
Day 4– Data Modeling and Machine Learning
Use Pandas for data manipulation Create and manipulate efficient DataFrames Group and summarize large datasets Apply NumPy arrays and matrices Perform essential linear algebra operations Build scalable Python regression models Evaluate supervised learning algorithms precisely Assess model accuracy with metrics
5
Day 5– Data Visualization and Reporting
Visualize data using Matplotlib libraries Create professional plots using Seaborn Generate scatter and time series Build histograms and 3D visualizations Tailor insights for stakeholder needs Combine data visualizations with text Summarize key findings for impact Present analytical insights with evidence

What's Included in Your Training

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

Career Outcomes

75%

of Mastering Python for Analytics (Data Visualization Focus) certified professionals report career advancement within 6 months

Salary Impact

+20%

Average salary increase reported after obtaining the Mastering Python for Analytics (Data Visualization Focus) 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
  • Junior Data Scientist
  • Business Intelligence Analyst
  • Analytics Consultant
  • Data Quality Analyst
  • Reporting Analyst

Companies Hiring

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

and 5,000+ organizations worldwide seeking Mastering Python for Analytics (Data Visualization Focus) 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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  • ★★★★★

    “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.

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    CISO, Financial Services

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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.”

    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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