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Data Analytics: Excel Stats, Regression & Forecasting Beginner

The Foundations of Data Analytics course by Open Source equips aspiring data analysts and career switchers with essential skills in data cleaning, statistical analysis, visualization, and Python-based tools to solve the critical industry challenge of transforming raw data into actionable insights. With over 270,000 data analytics jobs open in the U.S. and SQL appearing in 44% of job postings, this course builds job-ready competencies aligned with employer demands.

This course prepares learners for foundational data analytics certifications and career entry by leveraging Koenig’s Guaranteed-to-Run scheduling and 30-day lab access. Graduates gain hands-on experience with real datasets, enabling confident application of analytical techniques in business contexts and positioning them for roles in high-growth sectors.

24 Hours (3 Days)
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Training Formats & Pricing

1-on-1 USD 1,450
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Public Batch USD 1,150
Group class, fixed schedule Most Popular
Self-Paced USD 199
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Course Overview

Foundations of Data Analytics by Open Source is an introductory course designed for aspiring data analysts, business intelligence analysts, and entry-level data scientists seeking to build core competencies in data interpretation and analysis. This 40-hour vendor-neutral program is priced at 1,200 USD and aligns with the skills assessed in the EXIN Data Analytics Foundation certification exam. With data-driven decision-making adopted by over 80 percent of Fortune 500 companies, this course equips professionals with foundational knowledge in data lifecycle management, statistical analysis, and insight generation, serving as a critical stepping stone for those transitioning into data-centric roles.

Students engage with key open-source tools including Python, PostgreSQL, pgAdmin, Metabase, and Pandas for hands-on data manipulation and visualization. The lab environment, built on Docker-based infrastructure, allows learners to configure a full analytics stack locally, simulating real enterprise workflows. Within this environment, students clean and transform raw datasets, perform exploratory data analysis using descriptive statistics, and build interactive dashboards. A capstone project requires learners to analyze a retail sales dataset, identify purchasing trends, and present findings through visual reports in Metabase, mirroring actual business intelligence deliverables.

This course prepares candidates for the EXIN Data Analytics Foundation certification, which is recognized globally by employers as proof of essential data literacy. Certified professionals report average starting salaries between 60,000 and 75,000 dollars, with strong career advancement into senior analyst and data science roles. Open Source enhances learning with guaranteed-to-run batches and access to official courseware, ensuring structured, instructor-led mastery of the curriculum. Upon completion, graduates are positioned to pursue roles in data analysis, business intelligence, or further specialization in data science, equipped with practical, industry-aligned skills.

What You'll Learn

Leverage Python and Jupyter Notebooks to perform essential data engineering tasks in Open Source data analytics
Apply statistical tests grounded in foundational probability concepts to derive meaningful insights
Create compelling data visualizations with Matplotlib and Seaborn within Open Source environments
Cleanse and transform data efficiently using Open Source data analysis tools to prepare for analysis
Analyze complex, multi-dimensional datasets with proven Open Source methodologies
Build and deploy linear regression and clustering models using Python to uncover patterns and trends

Skills You'll Gain

Foundations of Data Analytics by the Google Data Analytics Professional Certificate curriculum provides mastery in the following technical competencies. Data Wrangling with Python, Statistical Analysis, Spreadsheet Data Manipulation, Relational Database Schema Design, PostgreSQL Querying, Data Cleaning, Python Pandas, Matplotlib Visualization, Seaborn Library, Exploratory Data Analysis, Descriptive Analytics, Data Visualization Design, Business Intelligence Reporting, Data Storytelling, and Capstone Project.

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of high school-level mathematics and statistics is recommended for the Foundations of Data Analytics course by Open Source, ensuring learners can grasp core analytical concepts effectively.
  • Familiarity with fundamental linear algebra concepts such as vectors, matrices, and matrix operations enhances comprehension of data manipulation techniques covered in the course.
  • Working knowledge of probability theory, including Bayes' Rule, random variables, and distributions, is essential for interpreting data analytics results accurately.
  • Experience with Python programming, especially data manipulation and scripting, helps learners apply practical skills during the Foundations of Data Analytics training.
  • Understanding data structures and algorithms like arrays, lists, sorting, and searching supports efficient data analysis workflows.
  • Exposure to computational thinking and problem-solving using code in a data context prepares students to tackle real-world analytics challenges confidently.
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Certification Exam

Everything you need to know about the Data Analytics: Excel Stats, Regression & Forecasting certification exam

Exam Details
Exam Name
Data Analytics: Excel Stats, Regression & Forecasting
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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What's Included in Your Training

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

Career Outcomes

75%

of Data Analytics: Excel Stats, Regression & Forecasting certified professionals report career advancement within 6 months

Salary Impact

+15%

Average salary increase reported after obtaining the Data Analytics: Excel Stats, Regression & Forecasting 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
  • Junior Data Analyst
  • Reporting Analyst
  • Operations Analyst
  • Marketing Analyst

Companies Hiring

5,000+
Google Deloitte Verizon American Express Bank of America Infosys PwC Walmart Target Hulu

and 5,000+ organizations worldwide seeking Data Analytics: Excel Stats, Regression & Forecasting certified professionals

Real Transformations

Course Student Reviews

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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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    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

Frequently Asked Questions

Everything you need to know about the Data Analytics: Excel Stats, Regression & Forecasting training course

Is the certification exam included in the Foundations of Data Analytics course, and what is the exam cost?
The Foundations of Data Analytics certification exam is not included in the course fee. You must purchase it separately for £215 (approx. $270). Pay this directly to EXIN for the Data Analytics Foundation (DAF-EX-ANY) exam, which validates your core data analytics skills.
What training formats are available for the Foundations of Data Analytics course at Koenig Solutions?
Koenig Solutions provides live online 1-on-1 instructor-led training and classroom delivery. Both formats are Guaranteed-to-Run, regardless of class size. We also offer self-paced e-learning options, ensuring you access official Open Source curriculum materials and expert instructors on your own schedule.
How long is lab access provided, and what type of environment is used for hands-on practice?
You receive 30 days of lab access starting from your course date. We use cloud-hosted sandbox environments to simulate real-world data analytics workflows. These secure, isolated settings allow you to master data collection, cleaning, and analysis techniques using industry-standard software tools.
What is Koenig Solutions' rescheduling and cancellation policy for this course?
Koenig allows free rescheduling with 7 business days' notice. Cancellations within 7 days incur a 15% administrative fee. We issue full refunds for cancellations made more than 7 days prior, ensuring flexibility while maintaining our commitment to Guaranteed-to-Run training sessions.
What is the exam format, number of questions, passing score, and time limit for the Foundations of Data Analytics certification?
The Foundations of Data Analytics exam features 40 multiple-choice questions. You have 60 minutes to complete the proctored, closed-book test. A passing score of 65% (26 correct answers) is required to earn your certification, which validates your competency in official EXIN syllabus standards.
How long is the certification valid, and what is the renewal process and associated cost?
The EXIN Data Analytics Foundation certification offers lifelong validity. It does not expire and requires no renewal. You face no continuing education credits, PDUs, or re-examination fees, making this a one-time investment that permanently validates your foundational data analytics knowledge.
What post-training support does Koenig provide after completing the Foundations of Data Analytics course?
Koenig offers 90 days of post-training mentorship with certified instructors. You gain access to exclusive learning communities and one free course retake within 6 months. This support ensures you receive ongoing guidance for exam success and practical application of your new analytics skills.
Are there any prerequisites or prior experience required to enroll in the Foundations of Data Analytics course?
No formal prerequisites are required. The Foundations of Data Analytics course is designed for beginners, career changers, and students. You do not need a specific technical background or academic degree to enroll, making this an accessible entry point into the data analytics field.
What career opportunities and salary improvements can be expected after earning the Foundations of Data Analytics certification?
Certification holders can target roles like Junior Data Analyst or Business Intelligence Assistant. In North America, starting salaries typically range from $55,000 to $70,000. This credential boosts your employability in data-driven sectors and serves as a vital stepping stone for advanced analytics careers.
How does instructor-led training from Koenig compare to self-study for the Foundations of Data Analytics certification?
Koenig’s instructor-led training increases first-attempt pass rates by up to 40% compared to self-study. You benefit from structured learning, real-time doubt resolution, and exam-focused guidance. With Guaranteed-to-Run schedules and personalized mentoring, you achieve faster, more reliable preparation than unguided study methods.
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