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About Our Expert Instructors at Technomotiva

At Technomotiva, our strength lies in the expertise, passion, and real-world experience of our instructors. We take immense pride in bringing together a team of highly qualified professionals who are not just subject matter experts, but also dedicated mentors committed to nurturing the next generation of talent in the IT and corporate world.

Our instructors are industry veterans with extensive academic backgrounds and practical experience. Many hold advanced degrees in Computer Science, Engineering, Business, and specialized IT domains, along with globally recognized certifications such as:

  • Oracle Certified Professionals (OCP)
  • AWS & Azure Certified Cloud Experts
  • PMP Certified Project Managers
  • Certified Ethical Hackers (CEH)
  • Google & Meta Digital Marketing Experts
  • ISTQB Certified Testers
  • SAP, Data Science, and AI Professionals

Hands-on Industry Experience

Each instructor at Technomotiva brings 5 to 20+ years of experience in working with top-tier MNCs, startups, and government projects across diverse industries including IT Services, Telecom, Banking, Healthcare, Manufacturing, and eCommerce. Their real-world exposure helps students understand practical challenges, business requirements, and current industry trends.

Mentorship & Career Guidance

Our instructors go beyond Online teaching. They act as career mentors—helping learners with project guidance, resume preparation, interview readiness, and professional networking. They offer personalized attention and one-on-one mentoring to ensure every learner builds the confidence and skills needed to succeed.

Updated with Latest Trends

Staying ahead in the ever-evolving tech world is crucial. Our instructors continuously upgrade their knowledge through certifications, research, and attending industry events. They integrate the latest tools, frameworks, and methodologies into the curriculum—making learning relevant, future-ready, and competitive.

Global Exposure

With training and consulting experience across India, the US, UK, Middle East, and Southeast Asia, our instructors bring a global perspective. This helps students understand cross-cultural business practices, global IT standards, and international job market expectations.

At Technomotiva, we don’t just teach—we inspire, mentor, and empower. Our instructors are the pillars of our training excellence, driving transformation for both individuals and corporate teams. Whether you're a student, working professional, or enterprise, learning from our experts means stepping into a future full of potential and opportunities.

Data Scientist Training

(Freelancer & Job-Ready Program)

Course Overview

This program equips you with end-to-end data science skills — from data cleaning and analysis to building AI/ML models — while also preparing you to offer data science services as a freelancer. You’ll learn industry-relevant tools, techniques, and real-world projects, plus client management, proposal writing, and pricing strategies for freelance success.

Curriculum Structure

  • What is Data Science? Career & freelance opportunities
  • Data Science workflow: Problem → Data → Insights → Deployment
  • Niche freelance areas in Data Science (business analytics, ML, AI solutions)
  • Introduction to freelance platforms: Upwork, Fiverr, Freelancer.com
  • Setting up a professional freelancer profile

  • Python fundamentals & syntax
  • Data structures (lists, dictionaries, tuples, sets)
  • Functions & loops
  • Working with libraries: NumPy, Pandas
  • Reading & writing data (CSV, Excel, JSON, databases)
  • Freelance tips: Writing clean, reusable scripts for clients

  • Handling missing values & duplicates
  • Outlier detection & treatment
  • Data type conversions
  • String manipulation & formatting
  • Data transformations & feature engineering
  • Hands-on project: Cleaning real-world messy data for a client

  • Descriptive statistics & measures
  • Data visualization with Matplotlib & Seaborn
  • Correlation & trend analysis
  • Pattern detection & insight extraction
  • Freelance case study: Preparing an EDA report for a business client

  • Introduction to relational databases
  • SQL queries (SELECT, WHERE, JOIN, GROUP BY, etc.)
  • Connecting Python with SQL databases
  • Hands-on: Extracting client’s sales data from a MySQL database

  • Probability distributions
  • Hypothesis testing
  • Statistical inference
  • A/B testing for business decisions
  • Freelance application: Marketing campaign performance analysis

  • ML concepts & workflow
  • Supervised vs Unsupervised learning
  • Regression models (Linear, Multiple, Polynomial)
  • Classification models (Logistic, Decision Trees, Random Forests)
  • Clustering (K-Means, Hierarchical)
  • Model evaluation metrics (Accuracy, RMSE, F1-score)
  • Freelance project: Predictive analytics for business forecasting

  • Support Vector Machines (SVM)
  • Gradient Boosting (XGBoost, LightGBM)
  • Neural Networks basics
  • Natural Language Processing (NLP) with NLTK & SpaCy
  • Freelance niche: Chatbot creation, sentiment analysis, document classification

  • Power BI & Tableau basics
  • Creating dashboards & reports
  • Freelance project: Designing a sales dashboard for a small business

  • Introduction to Hadoop & Spark
  • Working with PySpark for large datasets
  • Hands-on: Processing large CSV files for client analysis

  • Hosting ML models with Flask/Django
  • Using AWS/GCP for deployment
  • Data storage & retrieval on cloud
  • Freelance edge: Delivering cloud-hosted AI/ML solutions to clients

  • Finding profitable niches in Data Science freelancing
  • Writing winning proposals & negotiating rates
  • Portfolio building (GitHub, LinkedIn, personal website)
  • Setting up contracts & managing payments
  • Client communication & long-term relationship building

  • Customer Churn Prediction for an eCommerce brand
  • Sales Forecasting Dashboard for a Retail Chain
  • Sentiment Analysis of Social Media Data
  • Fraud Detection Model for a Financial Client

  • Fast Track: 2 Months (Intensive hands-on)

By the end of the course, you will:

  • Be proficient in Python, SQL, ML, AI, and data visualization tools
  • Have 4+ client-style projects in your portfolio
  • Be ready for full-time jobs as a Data Scientist or freelance projects worldwide
  • Know how to find, win, and deliver freelance contracts in Data Science

Data Scientist Course Details - FAQ

Our Data Scientist Training is a comprehensive, hands-on program that teaches you data analysis, machine learning, AI, data visualization, and business problem-solving. The course is designed for both job seekers and those who want to become freelance data science professionals, enabling you to work on real-world projects and serve clients worldwide.

This course is ideal for:

  • Fresh graduates from IT, statistics, mathematics, or business backgrounds
  • Working professionals looking to switch to a data science career
  • Entrepreneurs & freelancers wanting to offer data-driven services
  • Anyone interested in learning data analysis, AI, and machine learning

You will gain expertise in:

  • Python Programming for data science
  • Data Cleaning & Wrangling with Pandas & NumPy
  • Exploratory Data Analysis (EDA) & visualization with Matplotlib, Seaborn
  • Statistics & Probability for decision-making
  • Machine Learning (Regression, Classification, Clustering)
  • Advanced ML & AI (XGBoost, Neural Networks, NLP)
  • SQL & Databases for data extraction
  • Power BI & Tableau for dashboards
  • Big Data basics with PySpark
  • Cloud Deployment of AI/ML models
  • Freelance Business Skills for finding and managing clients

The program is divided into 12 modules, covering:

  • Data Science & Freelancing Basics
  • Python for Data Science
  • Data Wrangling & Cleaning
  • Exploratory Data Analysis (EDA)
  • Databases & SQL
  • Statistics & Probability
  • Machine Learning Fundamentals
  • Advanced ML & AI
  • Data Visualization & BI Tools
  • Big Data Basics
  • Cloud & Deployment
  • Freelance Business Skills

Yes. You’ll complete 4+ capstone projects designed to simulate real client work, such as:

  • Customer Churn Prediction for an eCommerce brand
  • Sales Forecasting Dashboard for a Retail Chain
  • Sentiment Analysis of Social Media Data
  • Fraud Detection Model for a Financial Client

You’ll master:

  • Programming: Python, SQL
  • Libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, NLTK, SpaCy
  • BI Tools: Power BI, Tableau
  • Big Data: PySpark
  • Cloud Platforms: AWS, Google Cloud (for deployment)
  • Version Control: Git & GitHub

  • Fast Track: 2 Months (Intensive hands-on)

You can work as:

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • AI Specialist
  • Freelance Data Science Consultant
  • Business Intelligence Analyst

Yes. Apart from technical skills, we guide you in:

  • Creating a strong linkedin profile
  • Writing winning proposals
  • Pricing strategies for different projects
  • Delivering client-ready reports & dashboards

  • Instructor-led live training
  • Recorded sessions for revisions
  • Assignments & projects after each module
  • Portfolio guidance to showcase your skills
  • Career & freelance mentoring

You can contact us via:

📞 Phone: +91 77081 40364

🌐 Website: www.technomotiva.com

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