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Data Analytics With Data Science Master's Program

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Master the complete data pipeline by combining the strategic business reporting of data analytics with the predictive power of data science. Delivered by The Great Indian Campus by iVIRTH, this 100% practical, project-driven program features live 1:1 mentorship and comprehensive career assistance to transition you into a high-demand tech role.

6 Students

0 Lectures

Shivam Shukla

Master

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6 months payment duration

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₹22,999

Total Payment

₹6,899.70 Upfront

30%

₹2,299.90 After 30 Days

10%

₹2,299.90 After 60 Days

10%

₹3,449.85 After 90 Days

15%

₹2,299.90 After 120 Days

10%

₹2,299.90 After 150 Days

10%

₹3,449.85 After 180 Days

15%

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What Will You Learn?

Data Wrangling & Cleaning: Clean missing values, handle outliers, and refine messy data using Pandas and NumPy.

Database Management: Query databases, build nested queries, and execute dimensional modeling using SQL/Postgre-SQL.

Data Storytelling: Build interactive, visual dashboards and customized reports to explain complex findings using Excel and Power BI.

Statistical Execution: Apply descriptive and inferential statistics, probability distributions, and hypothesis testing to uncover hidden trends.

Machine Learning Deployment: Build and launch predictive algorithms, utilizing supervised and unsupervised learning techniques like Linear Regression, Random Forest, and K-Means Analysis.

Advanced AI Applications: Execute Natural Language Processing (NLP) tasks and understand single and multi-layer neural networks for Deep Learning.

About This Course

The modern job market faces a massive talent shortage, with an estimated 11.5 million open roles required globally by 2026. Designed to bridge this gap, the curriculum detailed in the DA-DS.pdf file offers a complete "end-to-end expertise" pipeline. Rather than locking you into a single discipline, this program teaches you how to evaluate past business performance using analytics and forecast future trends using machine learning models.

Students bypass outdated, theoretical learning methods through a 100% practical, project-based approach paired with live mentoring from experienced industry professionals. You will benefit from hyper-personalized 1:1 doubt clearing, 2 years of free LMS access to catch up on exact class recordings, and a dedicated career accelerator program that includes resume building, interview preparation, and job referrals.

Requirements

No advanced mathematics or prior computer programming experience is required.

Ideal for naturally curious individuals, problem solvers, and visual storytellers.

Perfectly suited for career changers (retail workers, teachers), professionals seeking upskilling (marketers, project managers), and both STEM and non-STEM graduates.

FAQ

Check the frequently asked questions about this course.

Do I need a coding background to succeed in this program?

No, you do not need to be a math genius or a programmer to succeed. The program is built for a versatile audience, including non-STEM graduates and administrative staff looking to transition into tech.

What kind of support is available if I miss a class or get stuck?

You receive 2 years of free LMS access to review exact class recordings, alongside 1:1 live mentorship for personalized, 2X faster doubt clearing.

Will this program help me get a job?

Yes, the program includes a "Live Career Accelerator". This provides 1:1 career assistance, customized resume and LinkedIn profile building, online portfolio creation, and direct job referrals.

What specific tools and languages will I learn?

You will master a full technical toolkit, including Excel, SQL, Python (with Anaconda, Pandas, and NumPy), Power BI, and GitHub.

Shivam Shukla

5 Courses

9 Students

Data Analyst & AI/ML Specialist with extensive hands-on experience executing end-to-end data products. Proficient in Data Analysis and Data Science tools including Python (Pandas, NumPy, Scikit-Learn), R, SQL (PostgreSQL, MySQL), Advanced Excel, Power Query, Power BI, and Tableau. Expert in AI/ML workflows, leveraging TensorFlow, Keras, NLP, Computer Vision, Predictive Modelling, and GenAI tools (ChatGPT, Copilot, Perplexity) to automate complex pipelines and accelerate insight generation. Proven track record of conducting deep Exploratory Data Analysis (EDA), building robust Machine Learning models, and creating interactive, business-driven dashboards. Adept at transforming chaotic, raw datasets ...