Arivz

99088 60264

100% Job Assistance

Professional Data Science Career Accelerator

ModelMind

Master essential Data Science tools and skills like Python, Machine Learning, and Deep Learning while working on real-world projects that reflect the current demands of top companies.

Learner profile
Learner profile
Learner profile
4.8 out of 5
Data Science

Companies hiring

skilled professionals

What Sets You Apart

Your Edge

with Arivz

We bridge learning and career success. Learn job-ready skills, build real-world projects, and get personalized support to land your dream tech jobs.

Live Classes with Experts

Learn from real industry pros in Data Science, Analytics and more who know the game.

Personalized Dashboard

Stay connected with learning materials, updates, and resources, lifetime forever.

On-Demand Training

Get hands-on experience with essential tools even after course completion.

Boost Your Career with

Personalised Support

Dedicated Mentorship

Get personalised help and smooth guidance throughout your learning journey.

Career Guidance

Includes resume building, LinkedIn optimization, mock interviews, and soft skills.

Interview Assistance

Get personalized interview support and job opportunities until you're hired.

100+

Enrolled

77%

Completion

17

Placement
Drives

34

Workshops

This Course is

Perfect for

Beginners starting in data science,

Non-tech professionals switching to data roles,

Business & finance professionals upskilling,

Students & graduates entering the data field.

Apply for Roles

Like

Data Scientist,

Machine Learning Engineer,

Business Intelligence Analyst,

Quantitative Analyst,

AI/ML Analyst,

Research Analyst,

Data Engineer, and more.

What

You'll Learn

Master real-world data science skills in analysis, visualization, and machine learning with Python and build a strong portfolio with hands-on industry projects.

Sprint 1

Python & Data Handling

  • Python Basics: Variables, data types, control flow, functions, OOP
  • Libraries: NumPy, Pandas – slicing, merging, grouping
  • Data Cleaning & Preprocessing
  • File handling (CSV, JSON), API data access
  • SQL Fundamentals: SELECT, WHERE, GROUP BY, JOINs
  • Advanced SQL: Subqueries, Window functions, Indexing
  • Hands-on: EDA with Pandas + SQL mini-project
  • Git & GitHub basics

Sprint 2

Statistics, Probability & Data Visualization

  • Descriptive statistics, distribution curves
  • Probability, conditional probability, Bayes’ theorem
  • Hypothesis testing (t-test, chi-square, p-values, confidence intervals)
  • Correlation, covariance
  • Data visualization with Matplotlib, Seaborn, Plotly
  • Storytelling dashboards with Tableau / Power BI

Sprint 3

Machine Learning - Core Models

  • ML workflow: problem framing, data split, evaluation
  • Regression: Linear, Ridge, Lasso
  • Classification: Logistic, Decision Tree, Random Forest
  • K-Nearest Neighbors, Naive Bayes
  • Cross-validation, hyperparameter tuning
  • Clustering: K-Means, DBSCAN
  • PCA & Dimensionality Reduction

Sprint 4

Deep Learning and Gen AI

  • Neural Network basics: Activation, Loss, Optimizers
  • Keras/TensorFlow for building neural nets
  • CNNs for image classification (e.g., MNIST, CIFAR)
  • Transfer Learning: Pretrained models
  • NLP Basics: Tokenization, stopwords, TF-IDF, Word2Vec
  • Text Classification using RNNs / LSTM
  • Sentiment Analysis project
  • Intro to Transformers & Hugging Face (BERT, T5 overview)
  • Gen AI: Prompt Engineering + Using LLM APIs

Sprint 5

MLOps, Cloud & Deployment

  • Model Deployment with Flask or Streamlit
  • Docker Basics: Containerizing ML models
  • Cloud (AWS/GCP) Basics: EC2, S3, BigQuery
  • CI/CD Concepts: GitHub Actions / Jenkins overview
  • ML model monitoring & retraining basics

Sprint 6

Capstone Projects and Portfolio Development

  • Final reviews of key concepts across Python, SQL, ML, DL, NLP
  • GitHub Portfolio Review (Live)
  • Job support tips: How to approach startups, product companies, MNCs
  • Final Project Portfolio

Get Certified,

Get Noticed

Show off your skills with an industry-recognized Data Science certification. Upon course completion, you’ll receive a professional certificate to boost your resume and prove you’re job-ready.

Data Analytics Certificate

Testimonials

Hear It from

Our Community

Your career transition could start here with Arivz. Become the Next person to experience success.

Invest in your future,

Not All at Once

Flexible payments, focused learning.

Basic Plan

₹80,000

25% OFF

₹60,000

Register with Just

₹2,000

and pay the rest later in 3, 6, or 9 months with the No-cost EMI options

Premium Plan

₹1,20,000

25% OFF

₹90,000

Premium Features for Our

Premium Learners

Lifetime Dashboard Access

On-Demand Tool Training (1-year) after course

Dedicated Success Manager​

Guaranteed Interview Assistance

Get In Touch

Book Your

Free Counselling Session

Got questions about starting a career in UI/UX Design, Data Analytics, Data Science, Full Stack Development or more?

Let’s take the next step toward your tech career together!

Land Your Dream Job

with Job Focused Learning

Tech Jobs Guarantee

FAQ

Explore answers to common questions to launch your tech career with confidence.

No. This course is beginner-friendly and designed for learners from both technical and non-technical backgrounds. We start from the basics and guide you step-by-step through all essential concepts, tools, and projects.

You’ll be eligible for roles like Data Analyst, Business Analyst, Junior Data Scientist, BI Analyst, and more. Our job assistance also helps match your skills with the right opportunities based on your strengths.

 

You’ll get full support with:

  • Resume building & LinkedIn optimization
  • Mock interviews & interview preparation
  • Curated job referrals from our hiring network
  • 1:1 career guidance sessions

Our goal is to prepare you to confidently clear real interviews.

Yes! The course includes multiple industry-aligned projects across domains like marketing, finance, and operations. These help build a strong portfolio that you can showcase during interviews.

You’ll learn Python, SQL, Excel, Power BI, scikit-learn, and also get exposure to Gen AI tools, NLP, and Machine Learning techniques — all widely used in today’s data-driven roles.

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