AI-assisted analysis planning brief
Use AI assistants to frame business questions, choose analysis paths, compare model outputs, and document verification steps.
AI Data Analyst
Master AI-assisted analysis with Excel, Google Sheets, Python, statistics, SQL, Power BI, Tableau, and Snowflake.
EnglishLive instructor-led
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Duration70.5 hrs
ModeOnline
Outcomes
What you will learn
01
Use AI assistants and prompt engineering to plan analyses, explain outputs, and accelerate repeatable data workflows responsibly across projects.
02
Clean, transform, and analyze data in Excel, Google Sheets, Power Query, Copilot, Gemini, Bricks, Rows, and FormulaBot confidently.
03
Write Python code with Jupyter, pandas, NumPy, Matplotlib, and Seaborn for analysis, visualization, and reproducible notebooks from datasets.
04
Apply descriptive statistics, distributions, inferential statistics, feature engineering, and EDA to investigate real data questions with rigor and context.
05
Query databases using SQL basics and advanced SQL, including joins, aggregations, filtering, and business-question problem solving patterns confidently.
06
Build Power BI reports using visualization, Power Query, DAX, Copilot, SQL Server data, and practical dashboard projects end-to-end.
07
Create Tableau dashboards and understand Snowflake, AWS, and Azure basics for modern analytics and data platform awareness workflows.
08
Complete final portfolio projects and publish work through GitHub with clear documentation, visuals, insights, and presentation readiness for interviews.
Included
What is included
Sections
30
Lessons
311
Tools
28
Projects
10
Assignments
0
Assessments
0
Resources
0
Certificate
Included
Curriculum
Course content
Audience
Who is this for
College studentsFresh graduatesWorking professionalsCareer switchersAspiring data analystsFinance teamsMarketing teamsOperations teamsSales teamsManagers and team leadsBusiness owners
Tools
Tools taught
C
ChatGPTAI assistant
C
ClaudeAI assistant
G
GeminiAI assistant
D
DeepSeekAI assistant
P
PerplexityAI research
E
ExcelSpreadsheet
C
CopilotSpreadsheet AI
PQ
Power QueryData cleaning
GS
Google SheetsSpreadsheet
B
BricksAI spreadsheet
R
RowsAI spreadsheet
F
FormulaBotFormula assistant
P
PythonProgramming
J
JupyterNotebook
P
pandasPython library
N
NumPyPython library
M
MatplotlibVisualization
S
SeabornVisualization
P
PlotlyVisualization
S
SQLDatabase querying
SS
SQL ServerDatabase
PB
Power BIBusiness intelligence
D
DAXBusiness intelligence
T
TableauBusiness intelligence
S
SnowflakeCloud data platform
A
AWSCloud platform
A
AzureCloud platform
G
GitHubPortfolio
Requirements
Before you join
Basic comfort with spreadsheets, files, folders, and internet-based tools.
A laptop that can run Excel, Power BI Desktop, browser-based tools, and Python or Jupyter workflows.
No prior coding background is required, but regular Python, SQL, and dashboard practice is expected.
Microsoft and Google accounts are helpful for Excel, Copilot, Power BI, Google Sheets, and Gemini practice.
Willingness to work with datasets, write queries, build dashboards, document projects, and explain findings.
Projects
Portfolio-ready builds
Excel and Power Query cleaning workbook
Clean, combine, append, and profile spreadsheet data with Excel, Copilot, Power Query, pivots, charts, and written insights.
Google Sheets and Gemini workflow
Build a Google Sheets analysis using Gemini for data cleaning, formulas, charts, dashboard thinking, and insight drafting.
Python EDA notebook
Analyze a dataset using Python, Jupyter, pandas, NumPy, Matplotlib, Seaborn, Plotly, observations, caveats, and recommendations.
Statistics and feature engineering report
Apply descriptive statistics, distributions, inferential reasoning, feature engineering, and EDA to explain dataset behavior.
SQL Server business case study
Use SQL basics and advanced SQL to answer business questions across filters, joins, grouping, constraints, and window functions.
Power BI dashboard with DAX
Create a Power BI dashboard with Power Query, data visuals, DAX measures, Copilot support, and business-ready recommendations.
Tableau dashboard
Build a Tableau dashboard using practical visuals, filters, parameters, sets, joined data, and clear dashboard composition.
Snowflake cloud analytics mini project
Connect Snowflake concepts with AWS, Azure, staged data, warehouse setup, and BI tool connections.
Final GitHub portfolio project
Publish analytics work through GitHub with project documentation, dashboard screenshots, notebooks, datasets, and interview-ready explanations.
Certificate
Completion certificate
Complete the classroom work, projects, and required practice to earn your SkillmaxX Academy course certificate.
The certificate is designed to support your portfolio, interview conversations, and proof of structured hands-on learning.
Course fee
Admission and payment
SkillmaxX course feeSave 46%
₹26,999
MRP₹49,999
EMI options available for eligible learners Counselling helps confirm fit, schedule, and payment flow before registration.
FAQs
Course questions
Course counselling
Talk to us before joining AI Data Analyst.
If AI Data Analyst looks like the right fit, request a counselling call and we will help you confirm outcomes, schedule, fees, and the best way to start.
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Get clarity before registration and payment.