What Is Data Analytics?
Grasp the core principles and career possibilities.

Excel Interface Tour
Navigate ribbons, menus, and shortcuts like a pro.

Fundamental Formulas & Formatting
Apply SUM, AVERAGE, IF, and style cells for clarity.

Handling Raw Data
Import, sort, and prepare unstructured data for analysis.

Connecting to External Data
Pull in databases, CSVs, and web data with Excel connectors.

Power Query Basics
Cleanse and transform datasets—trim, split, merge and more.

Building Conditional Columns
Automate decisions inside Power Query using custom rules.

Intro to Data Modeling
Learn why models matter, how to define relationships, and manage cardinality.

Power Pivot Fundamentals
Control filter flow and unlock robust multi‑table analyses

Pivot Tables Mastery
Summarize large datasets with groups, clusters, and calculated fields.

Dynamic Visuals
Craft insightful charts and interactive slicers.

DAX Measures 101
Write simple measures to perform on‑the‑fly calculations.

End‑to‑End Dashboard
Combine tables, visuals, and slicers into a polished, interactive report.

Why MySQL?
Understand when and why databases outperform spreadsheets.

Your First Queries
Install MySQL, connect to a server, and explore basic CLI/workbench workflows.

Core Syntax & Structure
Learn SELECT, FROM, WHERE, and ORDER BY to retrieve specific data slices.

Filtering Data
Apply comparison, logical, and range operators to hone in on exactly what you need.

Handling Missing Data
Detect, filter out, and coalesce NULL values to keep your results clean.

Essential Functions
Aggregate counts, sums, averages, and text manipulations.

Conditional Logic
Use CASE expressions to branch your query outcomes.

Grouping & Filtering
Summarize data with GROUP BY, then refine those summaries with HAVING.

Bringing Tables Together
Master INNER, LEFT, RIGHT, and FULL JOINs to combine disparate tables into one cohesive view.

Nested Queries
Leverage subqueries for dynamic filtering, grouping, and value lookup.

Set Operations
Merge result sets with UNION, INTERSECT, and EXCEPT to compare and consolidate data.

Reusable Logic
Write stored procedures to encapsulate common transformations and business rules.

CTEs for Clarity
Break complex queries into named, easier‑to‑read building blocks using Common Table Expressions.

Analytic Windows
Calculate running totals, moving averages, percentiles, and ranking functions with window functions.

Why Power BI?
Discover how Power BI fits into the analytics landscape and why it’s a go‑to for interactive reporting.

Connecting Your Data
Use built‑in connectors to pull in Excel, CSV, database, and cloud data.

Power Query Deep Dive
Clean, transform, and shape your datasets using Power Query Editor’s intuitive tools.

Combining Data Tables
Append and merge queries to build unified tables from multiple sources.

Reshaping Data
Pivot and unpivot columns to structure your data exactly as visuals require.

Designing Your Data Model
Define relationships, understand cardinality, and choose the right cross‑filter directions for accurate calculations.

Calculated Columns vs. Measures
Learn when to use each, and how they impact model performance.

Intro to DAX Functions
Write basic DAX formulas for text, date, and numeric manipulations.

Time‑Intelligent Calculations
Build cumulative sales and moving averages to track trends over time.

AI‑Powered Measure Creation
Leverage Power BI’s Q&A and integration with ChatGPT to craft complex measures in seconds.

Choosing the Right Visual
Compare column charts, matrices, tables, and slicers to showcase your data effectively.

Key Visual Elements
Add cards, KPIs, and gauge charts to highlight critical metrics at a glance.

Dashboard Polish
Apply themes, drill‑throughs, bookmarks, and tooltips to create a user‑friendly, visually appealing report.

Why Python for Analytics?
Explore how Python powers data workflows, automation, and advanced analytics.

Data Types & Variables
Understand numbers, strings, lists, dictionaries, and how to store and name your data.

Operators & Expressions
Perform arithmetic, comparison, and logical operations to manipulate data.

Control Flow
Use if statements, loops (for, while), and comprehension to automate repetitive tasks.

Core Data Structures
Dive deeper into lists, tuples, sets, and dictionaries knowing when to use each.

Defining Functions
Write reusable code blocks to organize your analysis.

Built‑in Modules
Leverage Python’s standard library for file I/O, dates, and more.

Serialization with Pickle
Save and load Python objects for later use.

NumPy Introduction
Create and manipulate high‑performance arrays.

Array‑Based Statistics
Compute means, medians, variances, and other statistical measures at lightning speed.

Pandas Basics
Load, inspect, and clean tabular data with DataFrames.

Data Cleaning Techniques
Handle missing values, duplicates, and inconsistent formats.

Combining Datasets
Merge, concatenate, and join multiple tables for richer analysis.

Matplotlib Essentials
Plot line charts, histograms, and scatter plots to reveal trends.

Seaborn for Style
Apply statistical visualizations with minimal code for beautiful, informative graphics.

Introduction to Web Scraping
Learn when and why to pull data directly from websites.

Requests & BeautifulSoup
Fetch HTML content and parse it to extract tables, lists, and links.

Multi‑Page Extraction
Automate crawling through paginated results to build comprehensive datasets.

Basic Text Processing
Clean, tokenize, and analyze text for word frequencies and simple sentiment insights.

Why Statistics Matter
Discover how statistical thinking drives smarter hypotheses and decisions.

Descriptive Statistics
Summarize data with measures of central tendency (mean, median, mode) and dispersion (range, variance, standard deviation).

Probability Essentials
Grasp basic probability rules, distributions, and how chance governs real‑world events.

Hypothesis Testing
Formulate null and alternative hypotheses, calculate p‑values, and interpret results.

A/B Testing Fundamentals
Design and analyze controlled experiments to compare two versions of a webpage, feature, or campaign.

Intro to Machine Learning
Understand supervised vs. unsupervised learning and where ML fits in analytics.

Core Algorithms
Build your first predictive models using linear regression and decision trees.

Ensemble Methods
Boost accuracy with random forests and learn why combining models often outperforms a single learner.

Real‑World Use Cases
Explore applications like sales forecasting, customer segmentation, and risk scoring.

Unsupervised Techniques
Discover hidden patterns with K‑means clustering and dimensionality reduction (PCA).

Model Validation
Compare cross‑validation strategies (k‑fold, leave‑one‑out) to guard against overfitting.

Model Selection & Metrics
Use ROC curves, precision/recall, and other evaluation metrics to choose the best model.

AI in Analytics
Learn how AI-powered tools and services can automate insights, generate recommendations, and enhance your analytical workflows.

Resume Revamp Workshop
Transform your CV into an achievement‑focused, ATS‑optimized document that stands out.

LinkedIn Profile Makeover
Craft a compelling headline, summary, and featured projects to attract recruiters.

Portfolio Showcase
Publish your Excel dashboards, SQL queries, Power BI reports, and Python notebooks on GitHub or a personal site.

Elevator Pitch & Personal Story
Define your unique value proposition and practice a 30‑second introduction for networking events.

Behavioral Interview Bootcamp
Master the STAR method for questions on teamwork, leadership, and problem‑solving.

Technical Deep‑Dive Sessions
Revisit key Data Analytics concepts—SQL queries, DAX measures, Python scripts—and solve live exercises.

Mock Interviews with Industry Experts
Conduct 3–4 simulated HR and technical interviews, complete with real‑time feedback and improvement plans.

Case Study & Presentation Drill
Analyze a business scenario, prepare recommendations, and deliver a 5‑minute slide deck presentation.

Job Market Mapping
Identify top employers hiring for Data Analyst, BI Developer, and Analytics Consultant roles.

Application Strategy & Tracking
Use our custom tracker to manage applications, follow‑ups, and referral requests.

Alumni & Mentor Networking
Join exclusive Skill Stack Hub alumni groups, attend virtual coffee chats, and request informational interviews.

Recruiter Outreach Templates
Craft personalized email and LinkedIn messages to get noticed by hiring managers.

Offer Evaluation Workshop
Compare compensation, benefits, growth paths, and cultural fit across multiple offers.

Salary Negotiation Masterclass
Learn tactics to confidently negotiate package, perks, and sign‑on bonuses.