Data Science and Analytical Training
Unlock the power of data with our comprehensive Data Science and Analytical Training program. This course is designed for aspiring data professionals looking to master essential tools and techniques such as Python, R programming, machine learning, AI, and deep learning. With a balanced mix of theoretical concepts and practical projects, learners will gain a strong foundation in data handling, statistical analysis, model building, and algorithmic thinking. Whether you aim to become a data scientist, analyst, or AI engineer, this program offers the skills and insights needed to excel in a competitive, data-centric industry.
10,000+
Successful Graduates
3-15 LPA
Salary Opportunities
100+ Hours
Expert-Led Training
20+ Years
Industry Experienced Mentors
Globally Recognized
Certifications
Core Services Offered in Data Science & Analytical Training
Python for Data Science
Python is one of the most widely used programming languages in data science due to its readability, efficiency, and broad community support. In this module, learners are introduced to core programming concepts and data structures, followed by hands-on experience with libraries like Pandas, NumPy, and Matplotlib. The course covers data cleaning, data manipulation, statistical analysis, and data visualization techniques. Learners also build predictive models using Scikit-learn and real-world datasets. This course ensures participants can handle end-to-end data workflows. It is an ideal starting point for aspiring data scientists and analysts.
R Programming
R is a statistical programming language well-known for its robust data analysis and visualization capabilities. This module begins with the basics of R syntax and moves into data manipulation using dplyr and tidyr. Learners also explore data visualization through ggplot2 and statistical modeling for hypothesis testing and regression analysis. It provides a solid foundation for understanding analytical methods used in research and healthcare analytics. Real-world case studies reinforce learning, enabling students to apply R in practical scenarios. The module is best suited for professionals interested in statistical computing and academic research.
Deep Learning & Neural Networks
This advanced module explores the concepts and applications of deep learning, a subset of machine learning that mimics the functioning of the human brain. Students start with the basics of neural networks and proceed to more complex architectures like CNNs (Convolutional Neural Networks) and RNNs (Recurrent Neural Networks). Key frameworks such as TensorFlow and Keras are introduced for building and training models. Learners also explore use cases in image recognition, natural language processing, and autonomous systems. The course emphasizes both theory and implementation. By the end, learners will have developed working deep learning models.
Machine Learning & AI
This comprehensive module is designed to build a solid understanding of core machine learning and artificial intelligence concepts. It covers supervised and unsupervised learning, including algorithms such as linear regression, decision trees, k-means clustering, and support vector machines. Learners also dive into model evaluation, feature engineering, and optimization techniques. The use of Python’s Scikit-learn and real datasets helps translate theory into hands-on application. Emphasis is placed on real-world business problems and end-to-end solution development. This course equips learners with critical skills needed for roles in data science and AI engineering.
Course Curriculum: Data Science & Analytics Training
Module 1: Python for Data Science
Introduction to Python & IDE Setup
Variables, Data Types & Control Structures
Functions, Modules & File Handling
Data Manipulation with Pandas & NumPy
Data Visualization using Matplotlib & Seaborn
Statistical Analysis & Probability
Real-world Mini Projects (EDA, Data Cleaning)
Module 2: R Programming
R Basics & Data Types
Data Manipulation with dplyr & tidyr
Data Visualization using ggplot2
Exploratory Data Analysis (EDA) in R
Statistical Modeling (T-test, ANOVA, Regression)
Introduction to Shiny (Web Apps with R)
Hands-on Projects in Healthcare/Finance
Module 3: Deep Learning & Neural Networks
Introduction to Deep Learning & Neural Networks
Activation Functions, Loss Functions, Optimizers
Building Neural Networks with Keras
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs) & LSTMs
Transfer Learning & Model Tuning
Projects: Image Classification, Text Prediction
Module 4: Machine Learning & AI
Introduction to ML & Workflow
Supervised Learning: Regression & Classification
Unsupervised Learning: Clustering, PCA
Feature Selection & Engineering
Model Evaluation & Hyperparameter Tuning
Introduction to AI Concepts & Tools
Real-world Capstone Project (Banking, E-commerce, etc.)
Career Growth Path
- Entry-Level (0–2 Years): Data Analyst, Junior Data Scientist
- Mid-Level (2–5 Years): Data Scientist, Machine Learning Engineer
- Senior-Level (5+ Years): Lead Data Scientist, AI Solutions Architect
Tob Job Roles
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
- AI/ML Specialist
- Research Scientist
- Big Data Analyst
Top Job Locations
- Hyderabad
- Bangalore
- Pune
- Chennai
- Gurugram
- Mumbai
Course Highlights
- 100+ Hours of Live Instructor-Led Training
- Hands-on Projects and Real-World Case Studies
- Python, R, Machine Learning, and Deep Learning Modules
- Access to Industry-Standard Tools and Libraries
- Capstone Project with Mentor Review
- Resume Building and Interview Preparation Support
- Flexible Learning: Online, Weekend, and Hybrid Formats
- Globally Recognized Certification Upon Completion
tools to master in Data Science & Analytical Training
Python
R
SQL
Tableau
Power BI
TensorFlow
Keras
Scikit-learn
Pandas & NumPy
Jupyter Notebook
Job Readiness Pathway
Upon finishing the SahiLifes program, you will receive:
- Industry-Recognized Certification: Validate your expertise with a certificate that highlights your specialization in data science, analytics, or SAS.
- Hands-On Experience:Practical exposure through real-world projects, case studies, and live tools to build a job-ready portfolio.
- Comprehensive Skill Mastery:Gain in-depth knowledge of Python, R, Machine Learning, Deep Learning, and top analytical platforms.
- Career-Ready Support: Resume building, mock interviews, career counseling, and placement assistance to help you land your dream role.
- Access to Alumni Network & Job Portals: Stay connected with a thriving community and receive ongoing job alerts and mentorship.
- Lifelong Learning Resources: Continue learning with access to updated content, webinars, and expert sessions even after program completion.
Success Stories & Testimonials
How Will SahiLife Learning Help You?
Personal Mentorship from Industry Professionals
Experience engaging live sessions led by seasoned experts, focused on real-world use cases, advanced concepts, and practical implementations to build a strong foundation in your chosen domain.
Quick Support Anytime You Need
Have a doubt or need assistance? Our responsive Student Support Team is just a message away. Use the platform’s “Ask for Help” feature for instant resolution or schedule a callback for personalized support.
1:1 Career Mapping Sessions
Receive one-on-one career advice tailored to your background and goals. Our experts help you build a clear roadmap for landing your ideal job in your desired field.
Dedicated Career Transition Coach
Post-training, work with a dedicated career coach to fine-tune your personal brand, monitor progress, and receive strategic guidance during your transition phase.
Smart Resume & Profile Enhancer
Use our AI-enhanced tools to improve your resume, online profiles, and personal portfolio with targeted recommendations based on industry standards and hiring trends.
Interview Success Toolkit
Participate in mock interviews with professionals, clarify your doubts, and refine your presentation with expert insights. Our soft skill and technical refresh bootcamps ensure you’re confident and prepared.
Our Partner Companies
Frequently Asked Questions (FAQs)
Who can enroll in the SahiLifes program?
The program is open to students, working professionals, and career changers with a passion for analytics, data science, or SAS.
Do I need prior coding experience to join?
No prior coding knowledge is required. The program includes beginner-friendly modules that build foundational skills from scratch.
Are the certifications provided industry-recognized?
Yes, learners receive recognized certifications that add value to their resumes and enhance job prospects in the analytics domain.
What kind of placement support is offered?
We provide resume reviews, mock interviews, 1:1 career guidance, and placement assistance through our hiring partners.
Is this course available in both online and offline formats?
Yes, we offer flexible learning with online, classroom, weekend, and evening batch options.
Will I get access to learning materials after course completion?
Yes, learners get lifetime access to course materials, project files, and webinar recordings for continuous learning.
Rahul Mehta
Data Analyst