Data Analytics Intermediate Path

Hackify Data Analytics Intermediate Path

A 12-week intermediate analytics path for students ready to move beyond spreadsheets into SQL, Power BI, Python-supported analysis, dashboard storytelling, and project-backed reporting confidence.

Advanced Excel SQL Foundations Power BI DAX Intro Python Basics EDA Thinking

Duration12 Weeks

LevelIntermediate

DeliveryGuided reporting + 2 projects

AdmissionAdvisor-reviewed admission

View Full Syllabus Join Now

Certification Overview

Why this learning path is structured this way

The Data Analytics Intermediate Path is structured for learners who need more than spreadsheet familiarity. It moves into SQL, dashboarding, KPI logic, and Python-backed exploratory work so students can explain not just what a tool does, but how an analyst thinks through a reporting problem. The path also includes two portfolio-oriented projects to make interviews easier to handle.

Bridges Excel comfort to SQL, Power BI, and Python without overwhelming beginners

Builds real reporting logic around business questions and KPI storytelling

Includes two projects for portfolio proof and recruiter-facing visibility

Prepares students for a stronger jump into the HCDAP-aligned professional track

Skills and Tools

Execution areas students build through the path

Advanced Excel SQL Foundations Power BI DAX Intro Python Basics EDA Thinking

Content Options

Open each content option to explore the course-wise syllabus

Students can open each content option below to explore the 3-month data analytics curriculum, covering Excel, SQL, Python, visualization, statistics, and business analytics projects.

Bridges analytics foundations into practical reporting and decision-making
Combines Excel, SQL, Python, Power BI, Tableau, and statistics
Ends with domain-focused business analytics dashboard projects

Business Analytics Concepts
Data-Driven Decision Making
Data Collection Methods
KPIs and Metrics

Advanced Functions
Lookup Functions
Data Validation
Power Query
Dynamic Dashboards

Complex Queries
Joins (Inner, Outer, Cross)
Subqueries
Views and Stored Procedures
Performance Optimization

Python Fundamentals
Variables and Data Types
Loops and Functions
NumPy
Pandas

Handling Missing Data
Data Wrangling
Feature Engineering
Data Quality Assessment

Power BI Advanced
Tableau Fundamentals
Interactive Dashboards
Storytelling with Data

Descriptive Statistics
Probability
Hypothesis Testing
Correlation Analysis
Regression Basics

HR Analytics
Sales Analytics
Customer Analytics Dashboard

Hands-On Projects

Project work students complete before certification completion

The intermediate analytics path includes two guided projects so students can finish with actual reporting artifacts rather than only screenshots or notes.

Project 1

Sales and Operations Dashboard

Students create a dashboard that explains performance metrics, trends, and KPI movement for a simple business case.

Define KPIs and visual structure
Build charts and filters with a clearer business lens
Present insight summary and recommendations

Project 2

SQL and Python Customer Insights Case

Students query a dataset, examine customer behavior, and produce a structured insight pack backed by SQL and Python analysis.

Write queries for segmentation and aggregation
Use Python to explore patterns and edge cases
Deliver a concise analytical summary with evidence

Learning Paths

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Hackify Data Analytics Intermediate Path