About the Data Science Course in Lucknow
Kaish Computer Institute offers the most comprehensive and practical Data Science Course in Aliganj, Lucknow. This course covers Python programming, data analysis, statistics, visualization, exploratory analysis, machine learning, and real datasets.
You will learn how to clean, analyze, visualize and model data using professional tools like Pandas, NumPy, Matplotlib, Scikit-Learn, Seaborn & ML algorithms.
Students get hands-on experience through real business datasets — sales, HR, finance, e-commerce, healthcare & more. Each learner builds multiple real-world projects during the training.
Objectives of the Data Science Course
- Teach Python foundations required for Data Science.
- Build strong skills in data cleaning, analysis & visualization.
- Teach statistics used in Data Science & analytics.
- Train students in ML algorithms and model building.
- Prepare students for Data Analyst / Data Scientist roles.
- Build portfolio-ready real projects.
Data Science Course Syllabus
- Introduction to Data Science – Overview & Career Paths
- Python Basics – Variables, Loops, Functions, Data Types
- Python Libraries – Pandas, NumPy, Matplotlib, Seaborn
- Data Cleaning & Preprocessing – Missing value handling – Outlier detection – Data formatting
- Exploratory Data Analysis (EDA) – Summary statistics – Correlation – Heatmaps – Distribution analysis
- Data Visualization Techniques – Line, Bar, Pie charts – Histograms – Boxplots – Pairplots – Advanced visualizations
- Statistics for Data Science – Mean, Median, Mode – Standard deviation – Probability basics – Hypothesis testing
- Machine Learning (Supervised Learning) – Linear Regression – Logistic Regression – Decision Trees – Random Forest – KNN
- Machine Learning (Unsupervised Learning) – K-Means Clustering – Hierarchical Clustering – Dimensionality Reduction (PCA Basics)
- Model Evaluation & Optimization – Train/Test Split – Cross Validation – Confusion Matrix – Precision/Recall/F1 Score – ROC-AUC
- Real Data Science Projects – Sales Forecasting – HR Analysis – Customer Segmentation – Fraud Detection – E-commerce Data Analysis
- Resume Building, Portfolio Projects, Interview Preparation
Who Can Join the Data Science Course?
- 12th Pass or Graduate Students
- Working Professionals
- Beginners with no coding experience
- Job Seekers aiming for Data Analyst or Data Scientist roles
- Anyone looking to switch career into Analytics
No prior programming background required.
Course Duration
- 4 Months – Core Data Science
- 6 Months – Advanced + Machine Learning
Includes practical labs, tests & project submissions.
What You Will Learn in Data Science
- Python programming for Data Science
- Working with real datasets
- Data cleaning, preprocessing & EDA
- Building ML models
- Creating business insights & dashboards
- Real-world project portfolio
Career Options After Data Science Course
- Data Analyst
- Data Scientist (Junior)
- Machine Learning Engineer (Entry-level)
- Business Intelligence Analyst
- Research & Analytics Associate
Resume building + interview preparation included.
Certification
After completion, students receive a recognized Data Science Certification from Kaish Computer Institute, including project details & skills learned.
How to Apply?
Fill the registration form and our team will contact you for admission details & batch timings.
Register HereFrequently Asked Questions – Data Science Course
1. Is Data Science difficult for beginners?
No! We start from basics and gradually move to ML topics with real examples.
2. Do I need a strong math background?
Basic school-level math is enough. We teach applied statistics required for Data Science.
3. Will I work on real projects?
Yes. You will complete 4–6 industry projects for your portfolio.
4. Which tools are covered?
Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn & Jupyter Notebook.
5. Do you offer job assistance?
Yes. We provide resume support, interview practice & placement guidance.
