Data Analysis – LearnArk™️

What You Will Learn

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How data analysis works in practice — the full workflow from raw data to business decisions that matter

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How to use Excel and Google Sheets like a professional — formulas, pivot tables, charts and data cleaning

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How to write SQL queries to extract, filter and summarise data from any database — the most in-demand analyst skill

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How to build interactive dashboards and reports in Power BI that non-technical stakeholders can actually use

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How to use Python basics for data analysis — pandas, matplotlib and real-world automation without being a developer

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How to tell stories with data — visualisation principles, presenting to executives and translating numbers into decisions

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How to use AI tools to analyse data faster — ChatGPT for data interpretation, Copilot in Excel and AI-assisted SQL

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How to prepare for Google Data Analytics, IBM Data Analyst and Microsoft PL-300 Power BI certifications

Course Curriculum

Google DA

IBM DA

PL-300

Every module maps to objectives for the Google Data Analytics Certificate, IBM Data Analyst Certificate and Microsoft PL-300 Power BI — you study for the job and the certification at the same time.

▶What data analysis is and what a data analyst actually does every day — roles, responsibilities and industries20 min

▶The data analysis process — Ask, Prepare, Process, Analyse, Share and Act (Google's 6-phase framework)20 min

▶Types of data — structured, unstructured, quantitative, qualitative and how each is used20 min

▶Data ethics and privacy — GDPR basics, anonymisation and responsible data handling from day one15 min

▶Your certification roadmap — Google DA first, then IBM DA, then PL-300. Here is exactly how to get there.15 min

📝Project: Find a real business dataset, define a question it can answer and outline your analysis plan40 min

▶Spreadsheet fundamentals — navigation, formatting, data entry and basic formulas (SUM, COUNT, AVERAGE, IF)25 min

▶Advanced formulas — VLOOKUP, XLOOKUP, INDEX-MATCH, COUNTIF, SUMIF and nested functions30 min

▶Data cleaning in Excel — removing duplicates, handling blanks, text functions and standardising formats25 min

▶Pivot tables and pivot charts — summarising thousands of rows into meaningful insights in minutes25 min

📝Project: Clean a messy real-world sales dataset and build a pivot table summary with key insights55 min

▶Visualisation principles — choosing the right chart type for your data and your audience20 min

▶Building charts and graphs in Excel — bar, line, pie, scatter, combo and sparklines25 min

▶Building an Excel dashboard — slicers, dynamic charts and a professional one-page management view30 min

▶Data storytelling — how to present findings to non-technical stakeholders and turn data into decisions20 min

📝Project: Build and present a complete Excel dashboard for a retail business dataset60 min

▶What databases are and how data is stored — tables, rows, columns and relationships explained simply20 min

▶Core SQL — SELECT, FROM, WHERE, ORDER BY and LIMIT — querying real data from the first lesson25 min

▶Filtering and aggregating — GROUP BY, HAVING, COUNT, SUM, AVG, MIN and MAX25 min

▶Joining tables — INNER JOIN, LEFT JOIN and how to combine data from multiple sources25 min

📝Project: Write 10 SQL queries on a real e-commerce database — answer 10 specific business questions60 min

▶Subqueries and nested queries — answering complex business questions in a single statement25 min

▶CTEs (Common Table Expressions) — writing readable, reusable SQL like a professional analyst25 min

▶Window functions — RANK, ROW_NUMBER, LAG, LEAD and running totals for time-series analysis25 min

▶SQL in practice — connecting to BigQuery and PostgreSQL, exporting results and combining with Excel20 min

📝Project: Analyse a 50,000-row customer database using advanced SQL — produce a churn analysis report65 min

▶Power BI interface — the report canvas, data pane, visualisations panel and service vs desktop20 min

▶Connecting to data sources — Excel, SQL databases, SharePoint, Google Sheets and web APIs20 min

▶Power Query — cleaning, transforming and shaping data before it enters your report25 min

▶Building visuals — bar charts, line charts, KPI cards, maps, tables, slicers and drill-through pages25 min

📝Project: Build a multi-page Power BI dashboard for a fictional company and publish it to Power BI Service65 min

▶Data modelling in Power BI — star schema, relationships, cardinality and why model design matters25 min

▶DAX fundamentals — calculated columns, measures, CALCULATE, FILTER, RELATED and time intelligence30 min

▶Row-level security and workspace permissions — deploying reports safely for real clients20 min

📝PL-300 Exam Practice: 50 timed questions covering data modelling, DAX, visuals and service deployment75 min

▶Python in plain English — what it is, how analysts use it and why you don't need to be a developer20 min

▶Pandas fundamentals — DataFrames, loading CSVs, filtering, grouping and merging datasets35 min

▶Visualisation with Matplotlib and Seaborn — building charts directly from Python data25 min

📝Project: Analyse a real public dataset in Python and produce a full Jupyter Notebook report65 min

▶Using ChatGPT and Claude to interpret data, generate SQL and explain analytical findings25 min

▶Microsoft Copilot in Excel — AI-powered formulas, data summaries and chart recommendations20 min

▶GitHub Copilot for Python — using AI to write and explain data analysis code faster20 min

📝Project: Complete a full analysis workflow using only AI-assisted tools — from data to insight to presentation50 min

▶Google Looker Studio — building shareable dashboards connected to BigQuery, Sheets and GA425 min

▶Automating reporting — scheduled data refreshes, email delivery and client-ready templates20 min

📝Project: Build a live Looker Studio dashboard connected to a real Google Sheets dataset50 min

▶Google Data Analytics Certificate — exam format, topic weighting and final preparation checklist30 min

▶IBM Data Analyst Certificate — final module topics, case studies and submission tips25 min

▶Microsoft PL-300 — exam structure, passing score, booking process and last-minute prep25 min

📝Mock exam: 200-question timed practice covering all three certifications120 min

🎁Build your data analyst portfolio — 5 projects documented with business context, methodology and findings35 min

🎁CV and LinkedIn optimisation for data analyst, business intelligence and data associate roles globally25 min

🎁Interview preparation — SQL tests, case studies, portfolio walkthroughs and behavioural questions for data roles35 min

🎁Job and freelance strategy — UK, Netherlands, Canada, USA, Australia and remote-first global companies30 min

Certification Pathway Map

Certification	Who It Is For	Key Modules	Level
Google Data Analytics Certificate	Beginners — no experience needed, widely recognised by employers	1–5, 8, 9, 11	Entry
IBM Data Analyst Certificate	Builds on Google DA — adds Python, SQL depth and visualisation	2–5, 8, 9, 11	Entry–Mid
Microsoft PL-300 Power BI	Analysts specialising in BI and dashboard delivery	6, 7, 10, 11	Mid-Level

Who Is This For

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Complete Career Changers

You have no tech background but want to move into one of the most in-demand, well-paid roles in every industry. This course starts from absolute zero — no assumptions made.

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Business & Admin Professionals

You already work with data in spreadsheets but want to go deeper — SQL, Power BI and Python will transform what you can do and what you can earn in your current field.

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Freelancers & Consultants

You want to offer data analysis, reporting and dashboard services to businesses. Data analytics consultants charge $50–$150/hr and work entirely remotely across multiple clients.

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Remote Job Seekers

You want skills that get you hired by global companies in the UK, Netherlands, Canada, USA and Australia. Data analyst roles are among the most consistently remote-first positions in tech.

Tools & Platforms You Will Master

📊Microsoft Power BI

📋Excel / Google Sheets

🗃SQL (PostgreSQL / BigQuery)

🐍Python (Pandas / Matplotlib)

📓Jupyter Notebooks

🤖ChatGPT / Claude AI

🔵Microsoft Copilot

☁Google BigQuery

🔍Power Query

📐DAX (Power BI)

📊Google Looker Studio

🧠GitHub Copilot

Career & Salary Outcomes

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Data Analyst / Business Intelligence Analyst — average salary of $85,000–$93,000 in the US. Entry-level roles start at $65,000–$75,000. Adding SQL and Python skills alone adds $9,000–$15,000 to starting compensation. Power BI certification adds a further $8,000–$15,000.

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Clear progression into higher-earning roles — Data Analyst → Senior Analyst → BI Manager → Analytics Manager ($131,000+). The BLS projects 23–35% growth in data and analytics roles by 2032. Demand is rising faster than supply globally.

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Remote roles with global companies — data analyst positions are overwhelmingly remote-friendly. UK, Netherlands, Canada, USA and Australia are actively hiring analysts holding Google, IBM and Microsoft certifications. Remote gigs regularly reach $100,000+.

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Freelance and consulting income — data analytics consultants work independently for multiple clients, charging $50–$150/hr for dashboards, reports and data strategy. Many graduates freelance alongside a full-time role to build their portfolio and income simultaneously.

Taught by Industry Experts

Every LearnArk course is designed and delivered by active professionals — not academics teaching theory. Our data analysis instructors work with real datasets at real companies and bring live industry problems into every lesson.

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Working Data Professionals

Our instructors are currently working as data analysts, BI developers and analytics managers. Every tool, query and dashboard they teach comes from their real workflow — not a curriculum written five years ago.

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Global Industry Experience

Our team has worked with organisations across Nigeria, UK, Netherlands, Canada and the USA. You learn the reporting standards, dashboard conventions and data practices that global employers actually expect.

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Project-First Teaching

Every module ends with a real project on a real dataset. By Week 12 you have 5 portfolio projects — not just notes and certificates. Employers and clients hire on evidence of what you can do.

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Built for Total Beginners

Our instructors know exactly what it feels like to look at a spreadsheet and feel lost. Every lesson starts from first principles. No jargon without a plain-English explanation. No assumed knowledge. Ever.

What Our Graduates Say

★★★★★

"Before LearnArk, AI automation felt intimidating and honestly out of reach for me. But this course broke everything down in a way that just made sense. I started building real automations during the course, and that gave me the confidence to apply my skills in real-world scenarios. Today, I work as an AI Automation Engineer."

Adeniyi W.

AI Automation Engineer · Ontario, Canada 🇨🇦

★★★★★

"Taking the LearnArk course was one of the best decisions I made for my career. It helped me transition with clarity and confidence. The way everything was broken down made it easy to understand, even when I doubted myself. I could apply what I learned immediately."

Ada Nwume

Business Analyst · Nova Scotia, Canada 🇨🇦

★★★★★

"The Remote Job Accelerator Program was exactly what I needed. I had been applying for jobs with no real results, but LearnArk showed me what I was doing wrong and how to fix it. Within a short time, I started getting interviews, and eventually secured a role. This program truly works."

Bella Oloruntoba

Remote Tech Role · Amsterdam, Netherlands 🇳🇱

★★★★★

"What stood out for me was how relatable and practical the LearnArk training was. It didn't feel overwhelming, and I could learn at my own pace while still feeling supported. I went from being unsure of my path to confidently working as a Project Coordinator."

Jemima Awobowale

Project Coordinator · Lagos, Nigeria 🇳🇬

This Course Includes

Data Analysis
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