๐Ÿšจ Only 10 Seats Available Per Batch

Master Data Analytics with Personalized Guidance

With only 10 students per batch, I ensure every learner gets the focus, mentorship, and hands-on support they truly need.

Batch starts from 12th May, 2025

Akshata Ubrani – Product Analyst

Learn What You'll Really Need

Program Highlights

25+ core concepts
Business Case Study Hands On Experience
7+ Tools to master

No fluff. No jargon. Just pure, practical value

Live Class Schedule

Live Classes

TBD

Why Choose This Program?

Program Syllabus

๐Ÿš€ Kickstart Your Data Journey: Understanding Data Analytics
(Basic to intermediate and above)
– Basics of Analytics and Why is it used.
– Types of Analytics
– Perform basic procedures to obtain, process (clean), and store data
– Present data preparation processes.
– Reporting the Results of Analysis

(Basic to intermediate and above)
– Importing, replacing sheets and using it further.
– Using Functions and Formulas in Excel
– Pivot Tables and Filters
– Types of Charts and Implementation.
– Creating Dashboards in Excel/ GSheets .
– Business Problem Solving in Excel/ GSheets.

(Basic to intermediate and above) – Basic Select Statements
– SQL Clauses Order and Execution.
– Groups, Aggregate Functions
– Joins
– Nested Queries and Common Table Expressions
– Window Functions
– Exemplar Complex Problem Solving
– Understanding Google Cloud Platform.
– Importing Sheets and using it to query.
– Querying and Creating saved Queries.
– Scheduling of the Queries and Automating your code!
– Learn NumPy and Pandas Library Basics for data cleaning.
– Conduct exploratory data analysis
– Getting Data to Shape.
– Using Jupyter Notebook to Manipulate Data and Operate on it
– Exploratory Data Analytics Project
– Looker Studio Base to End.
– Understanding Type of Charts for Visualization.
– Making Dashboards for Operational fields.
– Creating Calculated Fields and aggregated fields.
– PowerBI Basics.
– PowerBl Dashboards and Exporting of dashboards.
– DAX Basics.
– Dashboard Creation Project via a case study on both Looker Studio and PowerBl.
โ€‹- Root Cause Analysis.
โ€‹- Defined Analysis.
โ€‹- Short project on both of them.
– A Market Case Study Analytics and a Presentation on a Business Decision for Improvement that enhances your Business Intelligence.
– Learn how to turn insights into compelling stories that drive business impact.
– Learn how to make your graphs tell a story of you analytics.
– Learn Writing Insights and making Beautiful Presentations.
– Understand basics of statistics
– Z-score
– Central Limit Theorem, p-value
– Hypothesis testing
– EDA

Automate every process you have learnt using AI. Make your decisions based on AI and shorten your work and enhance your
learning by introducing Al angle to your Analytics!

-Understanding Data Extraction, Cleaning Data, Creating Dashboards and Getting Insights and further decision Implementation.

Meet meโ€”your mentor!

Akshata Ubrani

I’m a Product Analyst by profession and a Data Professional with 4 years of experience in Analytics. I specialize in Data Processing, Visualization, Reporting, and Insight Generation.

With expertise in industry-leading tools like Looker Studio, Power BI, SQL, Google BigQuery to automate your data flow and Excel, I’ll help you master them all to make data-driven decisions and deliver actionable insights. I also have a strong background in data collection methodologies and data cleaning, using Adobe Analytics to transform raw data into meaningful visualizations and reports.

Who this course is for:

Requirements

โ‚น30,000/-

Still curious or need further clarification?

Need one-on-one support? Ask for a callback.

Any Questions?

Why only 5 people per batch?
To ensure personalized attention and a focused learning environment.
All sessions are recorded, and youโ€™ll have lifetime access to the materials.
No, this program is designed for beginners and intermediate learners.

Only 10 Spots Per Batch!
Apply before 12th May, 2025

๐Ÿšจ Applications Closing Soon!

๐Ÿš€ Limited Opportunity: Only 10 candidates will be selected for this cohort
71%