Data Science

About This Course

Data Science Training Institute in Kolkata offering practical, industry-focused training in data science, data analysis, statistics, Python programming, machine learning and data visualization. This course is designed for students, engineering learners, programming professionals, data analytics aspirants and beginners who want to develop practical Data Science skills for real-world data-driven applications in Kolkata and across West Bengal.

Learn Python for Data Science, statistics, data collection, data cleaning, exploratory data analysis, data visualization, NumPy, Pandas, SQL, machine learning and predictive analytics through hands-on project-based training. Additionally, students learn how to work with real-world datasets, identify useful patterns, build analytical models and communicate data-driven insights effectively.

For learners interested in advanced Artificial Intelligence technologies, explore our Machine Learning Training and Deep Learning Training programs.

Data Science Training Institute in Kolkata – What You Will Learn

• Introduction to Data Science
• Data Science Fundamentals
• Python Programming for Data Science
• Python Libraries for Data Science
• NumPy
• Pandas
• Data Cleaning and Data Preparation
• Data Wrangling
• Exploratory Data Analysis (EDA)
• Statistics for Data Science
• Descriptive Statistics
• Probability Fundamentals
• Data Visualization
• Matplotlib
• Seaborn
• SQL and Database Fundamentals
• Data Extraction and Analysis
• Feature Engineering
• Machine Learning Fundamentals
• Supervised Learning
• Unsupervised Learning
• Regression and Classification
• Clustering
• Model Evaluation
• Predictive Analytics
• Real-World Data Science Projects

Practical Data Science Training

At Techhub Solutions, the Data Science Training Institute in Kolkata focuses on practical learning rather than only theoretical concepts. Additionally, students work with real datasets, Python programming exercises and project-based assignments to understand the complete data science workflow.

Furthermore, students learn how to collect, clean, organise and analyse data before creating meaningful visualisations and analytical reports. Furthermore, the practical approach helps learners understand how data science techniques are applied to real-world business, technology, finance, marketing and other data-driven environments.

Students also gain practical exposure to Python, NumPy, Pandas, SQL, data visualization and machine learning, helping them develop a strong foundation for working with structured and unstructured datasets.

Career Opportunities

Data Science skills can help learners build careers in Data Science, Data Analytics, Business Intelligence, Machine Learning and Artificial Intelligence. Moreover, practical project experience helps students develop confidence in handling real-world datasets and solving data-driven problems.

Moreover, these skills can be useful for students and professionals looking to work as:

• Data Scientist
• Data Analyst
• Junior Data Scientist
• Data Science Associate
• Business Data Analyst
• Machine Learning Associate
• Python Data Analyst
• Business Intelligence Analyst
• Data Visualization Analyst

Data Science knowledge can also be combined with Machine Learning, Deep Learning, Python, SQL, Power BI and Cloud technologies to develop a broader professional skill set.

Why Choose Techhub Solutions?

Techhub Solutions provides practical, project-based training with hands-on learning and experienced faculty support. Therefore, students can develop practical Data Science skills through structured training focused on real-world applications.

The training combines Python programming, statistics, data analysis, visualization, SQL and machine learning to help learners understand the complete data science process from raw data to meaningful insights.

Students receive practical exposure to real datasets, data cleaning, exploratory analysis, visualization, predictive modelling and project development, helping them build useful skills for academic projects, professional work and future careers in Data Science and Analytics.