Data Analytics with AI Foundation

Become Job-Ready in Data Analytics with AI Foundations

Build strong analytical skills, work on real business projects, and learn how AI fits into modern analytics roles — even if you’re starting from scratch.

Duration

0 M

Average Salary Hike

0 %Upto

Carrer Support

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Industry Experts

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Happy Customers

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Live Weekend Classes

Mentor-led interactive sessions

Industry Projects

Real-world, hands-on experience

AI-Integrated Learning

Modern tools & AI workflows

Interview & Resume Prep

Mock interviews & profile building

Career Strategy Support

Guided job & growth planning

“Tools & Technologies You’ll Master”

Course Curriculum

Data Thinking & Business Analytics

* Role of a Data Analyst in modern organizations
* Translating business problems into data questions
* KPIs, metrics, funnels, and business decision-making
* Stakeholder communication and insight storytelling

Excel for Analytics + SQL Fundamentals

Excel (Advanced Business Use)

* Data cleaning and formatting
* IF, AND, OR logic functions
* VLOOKUP, XLOOKUP, INDEX-MATCH
* Pivot Tables, charts, and MIS dashboards
* Data validation and error handling

SQL Fundamentals

* Database and RDBMS concepts
* SELECT, WHERE, ORDER BY
* GROUP BY, HAVING * JOINS (INNER, LEFT)
* Subqueries and business reporting queries

Python for Data Analysis

* Python basics for analysts
* NumPy fundamentals
* Pandas for data manipulation
* Data cleaning and transformation
* Exploratory Data Analysis (EDA)
* Reading and exporting datasets

Data Visualization & Dashboards

* Power BI / Tableau fundamentals
* Data modelling and relationships
* Interactive dashboards with filters and slicers
* KPI cards and data storytelling
* Best practices for dashboard design
* Publishing and sharing dashboards

Statistics, Machine Learning & AI for Analysts

Applied Statistics

* Descriptive statistics and distributions
* Probability basics and outlier detection
* Hypothesis testing (T-Test, Z-Test, Chi-Square)
* A/B testing for business decisions

Machine Learning Fundamentals

* Supervised learning: Linear & Logistic Regression
* Decision Trees and Random Forest
* Unsupervised learning: K-Means clustering
* Model evaluation and business interpretation

AI Tools & Automation

* Using ChatGPT/Copilot for SQL and Python
* AI-assisted data analysis and dashboards
* Prompt engineering for analysts
* AI tools for resume and LinkedIn optimization

Big Data Exposure

* Big Data concepts
* Introduction to Apache Spark (PySpark)
* Handling large datasets and industry use cases

Real-World Projects & Portfolio

* Business data analysis project
* Predictive analytics project
* Dashboard-based case study
* Resume project alignment
* Portfolio and GitHub guidance

Career Transition & Interview Preparation

* Resume building for Data Analyst roles
* LinkedIn profile optimization
* Analytics interview questions
* Case study discussions
* Career roadmap and next-step planning

Certificates

Upon successfully completing the Data Analytics with AI Foundations Program, learners will receive an official Certificate of Completion from Sparkedify. This certificate recognizes the learner’s proficiency in Data Analytics and AI Applications and can be used to strengthen resumes, LinkedIn profiles, and professional portfolios. A sample certificate is shown above for reference.

Testimonials

“I came from a non-technical background and was honestly nervous at the start. Sparkedify structured the learning so well that concepts felt clear and practical. The projects helped me gain real confidence.”

Ashutosh Shrivastava

The trainers don’t just teach tools — they explain how things work in real companies. That made a huge difference during interviews and case discussions.”

Tushar Bhardwaj

As a working professional, flexibility mattered a lot. Live weekend classes with recorded backups helped me balance learning with my job without stress.

Rahul Saxena

Sparkedify helped me change how I think about data and problem-solving. It wasn’t just learning — it was building the right career mindset.”

Anurag Tripathi

The placement support felt honest and structured. Resume reviews, mock interviews, and guidance on applications really helped me prepare realistically.”

Mayank Yadav

“What I liked most is that Sparkedify doesn’t give fake promises. They focus on preparing you well and guiding you — the rest depends on your effort.”

Samiksha