Data Science Course in Dalanwala
Data Science CourseModules at TGC in Dalanwala
Introduction to Data Science and Analytics
In this foundational module, you’ll gain a clear understanding of what data science is, how it works, and why it’s revolutionizing industries across the globe. The course begins by exploring the complete data science lifecycle, including data collection, cleaning, exploration, modeling, interpretation, and deployment. You’ll learn how data science differs from and overlaps with related fields like machine learning, artificial intelligence (AI), and business intelligence (BI). The module explains the roles and responsibilities of various data professionals such as data analysts, engineers, and scientists.
Python Programming for Data Science
This module focuses on building a strong foundation in Python programming, the most widely used language in data science. Even if you're new to coding, you’ll start from the basics, understanding variables, data types, strings, loops, functions, and file handling, and gradually move toward writing efficient, modular code. You’ll gain practical experience using Jupyter Notebooks and popular libraries like NumPy (for numerical computing) and Pandas (for data manipulation). Through hands-on exercises, you’ll learn to clean, organize, and analyze datasets effectively.
Statistics and Probability for Data Science
Statistical knowledge is the backbone of any successful data scientist, and this module is designed to give you the depth you need. You will learn how to summarize data using descriptive statistics like mean, median, standard deviation, skewness, and kurtosis. The module then moves into probability theory, covering essential concepts like conditional probability, permutations, combinations, and the basics of probability distributions, including normal, binomial, and Poisson distributions. You’ll also perform hypothesis testing.
Data Wrangling and Cleaning
Before you can analyze data or build models, you need to prepare it. This module teaches you how to work with raw, unstructured, or inconsistent data, a common challenge in real-world scenarios. You’ll learn how to detect and handle missing values, outliers, and duplicate records, ensuring your dataset is clean and ready for analysis. Techniques such as feature engineering, data normalization, standardization, and encoding categorical variables are introduced to help improve your model’s accuracy. You’ll also work on transforming date/time formats, dealing with inconsistent string inputs, and understanding how to reshape data using functions like melt and pivot.
Exploratory Data Analysis (EDA)
Exploratory Data Analysis is where you turn data into insights. In this module, you’ll learn how to visually and statistically explore datasets to uncover patterns, trends, and relationships. You’ll use Python libraries like Seaborn and Matplotlib to generate powerful visuals such as scatter plots, histograms, pair plots, box plots, and heatmaps. Techniques like correlation analysis, grouped statistics, and trend analysis will help you better understand your data before building models. This process not only helps in selecting relevant features but also ensures you identify data quality issues early. You’ll work on multiple mini-projects where you explore real-world datasets using both visualization and statistical tools.
Databases and SQL for Data Science
SQL is a must-have skill for every data scientist, and this module focuses on integrating database querying into your workflow. You’ll start by learning the basics of relational databases, tables, and schemas, and progress to writing complex SQL queries. You'll practice operations like SELECT, JOIN, GROUP BY, WHERE, ORDER BY, and subqueries to extract, filter, and manipulate data efficiently. Real-world datasets from domains like sales, banking, and inventory will be used for practice. You’ll also learn how to connect Python with databases to automate data extraction and reporting processes.
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- Industry Relevant Syllabus.
- 100% placement assistance.
- Customised your course as per your needs.
- Real Time Projects.
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Why Choose TGCDalanwalafor Data Science Training?
Learn from Expert Trainers with Real Industry Backgrounds
At TGC Dalanwala, our strength lies in our faculty’s deep industry experience. All our instructors are seasoned professionals currently working or having worked in top-tier companies in the fields of data analytics, machine learning, artificial intelligence, and big data. They bring not only academic expertise but also real-world knowledge of how data science is applied in practical business environments. This means you’ll learn how to use data science to solve actual business problems, interpret KPIs, optimize decision-making processes.
Practical, Project-Oriented Curriculum Based on Real Use
We believe that hands-on, project-based learning is the most effective way to master data science. Every concept you learn will be reinforced through mini-projects, case studies, and real-world datasets. You’ll solve practical problems such as: Predicting house prices using regression Classifying emails as spam or not using classification models Segmenting customers based on purchase behavior using clustering Visualizing company performance metrics using Power BI/Tableau Building recommendation systems for e-commerce platforms
Industry-Ready Curriculum Using the Latest Tools and Technologies
Our curriculum is continuously updated based on market needs and feedback from recruiters, ensuring you learn only what's relevant in the job market. You’ll gain mastery in industry-standard tools and libraries such as: Programming & Analysis: Python, Pandas, NumPy Databases: SQL, MySQL, PostgreSQL Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI Machine Learning: Scikit-learn, XGBoost, LightGBM Project Environments: Jupyter Notebooks, Google Colab, GitHub Optional Topics: Introduction to Big Data, cloud platforms, and NLP
Personalized Learning Experience with Doubt-Solving Support
Unlike many overcrowded institutes, TGC Dalanwala offers small, focused batches where every student gets individual attention. Our goal is to provide a mentorship-driven experience. Whether you are a fresher or a working professional from a non-technical background, our trainers provide: One-on-one doubt resolution Personalized project guidance Performance reviews and improvement plans Access to extra revision sessions Career consultations and learning roadmap discussions This approach ensures no one is left behind, and every learner progresses confidently.
Complete Career Support & Profile Development
We don’t stop at just teaching; we help you launch your career in data science. Our dedicated career support includes: Professional resume and CV building workshops tailored for data science LinkedIn profile branding and GitHub repository setup for project visibility Mock interviews and behavioral interview coaching Technical assessments and interview question banks HR referrals and job placement guidance through our partner companies We help you build a job-ready profile that can stand out in the competitive analytics and AI job market.
100% Placement Assistance with Job and Internship Opportunities
TGC Dalanwala has a strong network of hiring partners, recruiters, and tech companies in sectors like IT, BFSI, retail, healthcare, and ed-tech. We actively help students: Apply for relevant data science roles Prepare for technical rounds and aptitude tests. Get placed in internships and full-time roles. Connect with alumni and professionals for guidance.e Our placement cell stays with you until you find the right opportunity, providing consistent follow-up and career support even after the course ends.
Flexible Learning Modes for Every Type of Learner
We offer multiple learning options to suit your schedule and learning preferences: Offline classroom training at our Dalanwala center with face-to-face mentoring Live online interactive sessions with screen sharing, coding walkthroughs, and real-time Q&A Weekend, weekday, and fast-track batches for working professionals and students Access to recorded sessions in case you miss any class
Lifetime Access to Updated Learning Materials
Learning never truly ends, especially in a dynamic field like data science. That’s why we give you lifetime access to all course material, including: Lecture recordings Dataset downloads Practice notebooks Slides and notes Updates and new modules You can revisit the learning content anytime in the future to stay sharp or refresh your skills during job preparation.
Our Process
Free Career Counseling and Course Consultation
Your journey begins with a personalized counseling session with our career advisors. Whether you’re a student, fresher, working professional, or career switcher, we help you understand: How data science fits your career goals What learning path suits your background The complete course structure, fees, batch timing, and placement details You can also attend a free demo class to get a feel of our teaching methodology, interact with trainers, and explore the tools you’ll work on.
Easy Enrollment and Orientation
Once you decide to enroll, the process is simple and quick. After registration, you’ll receive: Your login credentials for course material and online classes (if applicable) A detailed syllabus and course calendar Access to introductory Python and data handling modules to get started early Guidance on setting up tools and software like Jupyter Notebook, Anaconda, and Git During orientation, we’ll walk you through the entire learning roadmap and explain how to track your progress and assignments.
Concept-Based Learning with Expert Mentorship
Each topic is delivered through step-by-step interactive classes, combining theory, coding, and real-world application. Our trainers explain concepts clearly and solve live problems in class using actual datasets. You’ll learn through: Concept walkthroughs Live Python coding Hands-on activities and mini-projects Real industry examples We follow a modular teaching approach, ensuring foundational topics like statistics, Python, SQL, and machine learning are mastered before moving to advanced levels.
Practical Assignments and Real-World Projects
After each module, you’ll be given assignments and project work based on real-life scenarios. These tasks help reinforce your learning and improve hands-on skills. Some examples include: Cleaning messy datasets Analyzing customer behavior Predicting sales using regression models Building dashboards in Tableau or Power BI You’ll work on both individual and group projects throughout the course, all of which go into your GitHub portfolio for job applications.
Capstone Project & Portfolio Building
As you near the end of the course, you’ll choose a capstone project based on your preferred domain (e.g., e-commerce, healthcare, banking, etc.). You’ll: Define the problem Prepare and clean data. Apply appropriate ML models. Evaluate the results Present your findings with a dashboard.s This project will be your signature work, perfect to present during job interviews and on your LinkedIn or GitHub profile.
Career Support and Interview Preparation
Once your training is complete, we begin the job-readiness phase. You’ll receive support in: Resume writing tailored for data roles Interview preparation (technical + HR) Mock interview rounds with feedback Building your LinkedIn and GitHub presence Application guidance for internships and full-time roles We’ll also guide you on how to approach freelance projects, data challenges, hackathons, and more.
Certification and Lifetime Access
After completing the course and project reviews, you’ll receive a TGC Certified Data Science Course Completion Certificate. This certificate validates your learning and strengthens your professional profile. Additionally, you’ll get lifetime access to: Updated course content Project code files and datasets Recorded sessions Supplementary materials and cheat sheets You can revisit the material anytime to stay updated or refresh your skills.
Placement Assistance and Job Opportunities
Our placement team works closely with you to find the right job or internship. You’ll receive: Job alerts based on your location and interest Referrals to hiring partners Assistance in applying for roles such as Data Analyst, Data Scientist, Business Analyst, and ML Engineer Career tracking support until you land your ideal job
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Frequently Asked Questions(FAQ)– Data Science Course at TGC Dalanwala
The course duration typically ranges from 3 to 5 months, depending on your chosen batch type:
- Regular (Weekday): 4–5 months
- Weekend: 5+ months (ideal for working professionals)
- Fast-track: 8–10 weeks (intensive and time-bound)
We offer flexible schedules so you can balance learning with work or college.
No prior knowledge is required.
The course starts from scratch, covering the basics of Python programming, statistics, and data handling. Whether you’re from a non-technical background or switching careers, our beginner-friendly approach ensures you can follow along comfortably.
You’ll learn a wide range of industry-relevant skills, including:
- Python programming and libraries (Pandas, NumPy, Matplotlib)
- Data wrangling, cleaning, and preprocessing
- Exploratory Data Analysis (EDA)
- SQL and databases
- Statistics and probability
- Machine learning using Scikit-learn
- Data visualization with Tableau/Power BI
- Model evaluation and tuning
- Real-world project implementation
GitHub and portfolio development
Yes. Upon successful completion, you will receive a TGC Certified Data Science Course Completion Certificate, which is recognized and adds credibility to your resume. You can showcase this on your LinkedIn profile, job applications, or portfolio.
You’ll work on real-world projects to build a strong portfolio, including:
- Sales Forecasting using time-series data
- Customer Segmentation using Clustering
- House Price Prediction using regression
- Fraud Detection using classification models
- Sentiment Analysis using social media or review data
- Recommendation Systems for e-commerce platforms
Yes, we offer 100% placement assistance, including:
- Resume building & portfolio guidance
- Mock interviews (technical + HR)
- LinkedIn & GitHub optimization
- Job alerts and referrals to hiring partners
- Internship opportunities and live project experience
Yes, we offer both offline classroom training at our Dalanwala center and live online training with real-time interaction, practical demonstrations, and doubt-clearing sessions. You can choose the mode that suits your schedule and convenience.
This course is perfect for:
- Graduates and final-year students looking to start a career in data
- Working professionals wanting to upskill or switch careers
- Software developers, testers, and engineers exploring AI/ML
- Marketing or business analysts looking to leverage data.
Anyone curious about data, regardless of their academic background
The fee depends on batch type (regular, weekend, fast-track) and mode (offline or online). For updated fee details, discounts, and EMI options, please contact our team at TGC Dalanwala directly or visit the center for a free counseling session.
You can enroll by:
- Visiting our Dalanwala center and filling out the registration form
- Calling us to schedule a demo class or a counseling session
- Filling out the inquiry form on our official website
TGC is India's one of the fastest growing training companies in creative design. TGC has passed out more than 20,000 students in the last 24 years
