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Data Science Training in Ranchi
Codezeal Technologies • Ranchi
Data Science & Machine Learning Training in Ranchi
Codezeal is a premier Data Science training institute in Ranchi providing job-oriented training in Python, statistical modeling, data analytics, and machine learning with real-world case studies. Our core mission is to equip learners with industry-standard skills so they can extract actionable insights from raw data and build high-accuracy predictive models.
Designed and delivered by experienced industry data practitioners, this program takes you from fundamental data wrangling and exploratory data analysis (EDA) to deep learning algorithms, business intelligence, and end-to-end model deployment.
Program Core Pillars
Python & Data Analytics
Clean, process, and analyze complex datasets using Python, NumPy, Pandas, SQL, and perform thorough Exploratory Data Analysis (EDA).
Applied Statistics & Math
Master hypothesis testing, probability distributions, linear algebra, and inferential statistics essential for data-driven modeling.
Machine Learning (ML)
Train and tune supervised and unsupervised models including Linear Regression, Decision Trees, Random Forests, XGBoost, and Clustering.
Data Viz & Model Deployment
Create executive dashboards using Power BI/Tableau, and deploy machine learning models as production REST APIs using Streamlit and Flask.
Scope of Data Science in Ranchi
Data-driven decision making has become central across industries including finance, healthcare, e-commerce, and enterprise IT. With increasing digital adoption across Jharkhand and Tier-2 technology ecosystems, organizations are actively seeking trained professionals who can transform data into predictive intelligence. Practical mastery of Python, SQL, and machine learning opens high-growth pathways to roles like Data Scientist, Data Analyst, and Business Intelligence Specialist.
Key Benefits of Data Science Training
- In-Demand Career Pathways: Qualify for high-growth roles such as Data Scientist, Data Analyst, ML Engineer, or BI Developer.
- Industry-Standard Toolstack: Build complete proficiency in Python, SQL, Scikit-Learn, Pandas, Git, Power BI, and Jupyter.
- Data-Backed Decision Making: Learn how to tackle open-ended business problems using statistical validation and predictive modeling.
- Portfolio Capstone Projects: Complete production-grade data pipelines, predictive engines, and visualization dashboards to showcase in technical interviews.
Book a Free Technical Consultation
Discuss your career goals, evaluate our live project curriculum, and plan your data science roadmap with our expert mentors.
DATA SCIENCE SYLLABUS
DATA SCIENCE SYLLABUS
Module 1
Python Programming
Python Programming
▸ Variables, data types and operators
▸ Conditional statements and loops
▸ Functions, lambda and comprehensions
▸ Lists, tuples, sets and dictionaries
▸ OOP fundamentals
▸ File handling: CSV, JSON and Excel
▸ Exception handling and modules
Module 2
NumPy
NumPy
▸ NumPy arrays and dimensions
▸ Array indexing and slicing
▸ Broadcasting and vectorization
▸ Mathematical and statistical operations
▸ Matrix operations
▸ Random number generation
Module 3
pandas
pandas
▸ Series and DataFrames
▸ Importing CSV, Excel and JSON
▸ Filtering, sorting and grouping
▸ Handling missing values and duplicates
▸ Merge, join and concatenate
▸ GroupBy, pivot tables and aggregation
▸ Data transformation and cleaning
Module 4
SQL and Statistics
SQL and Statistics
▸ SELECT, WHERE, ORDER BY and LIMIT
▸ GROUP BY and HAVING
▸ Joins and subqueries
▸ CTEs and window functions
▸ Mean, median, mode and standard deviation
▸ Probability and distributions
▸ Correlation, covariance and hypothesis testing
Module 5
Exploratory Data Analysis (EDA)
Exploratory Data Analysis (EDA)
▸ Understanding datasets
▸ Univariate, bivariate and multivariate analysis
▸ Outlier detection
▸ Missing-value analysis
▸ Correlation analysis
▸ Data quality and data validation
▸ Identifying patterns and trends
Module 6
Data Visualization
Data Visualization
▸ Matplotlib
▸ Seaborn
▸ Line charts, bar charts and histograms
▸ Box plots and scatter plots
▸ Heatmaps and pair plots
▸ Choosing the correct chart for a problem
▸ Data storytelling and reporting
Module 7
Power BI
Power BI
▸ Power BI Desktop fundamentals
▸ Importing Excel, CSV and SQL data
▸ Power Query and data transformation
▸ Data modeling and relationships
▸ Star and snowflake schemas
▸ DAX fundamentals
▸ Measures and calculated columns
▸ Interactive dashboards and reports
Module 8
Advanced Data Analysis
Advanced Data Analysis
▸ Business KPI analysis
▸ Time-series analysis fundamentals
▸ Sales and customer analysis
▸ Cohort and retention analysis
▸ A/B testing fundamentals
▸ Statistical interpretation
▸ Business recommendations and reporting
Module 9
Machine Learning Fundamentals
Machine Learning Fundamentals
▸ AI vs ML vs Data Science
▸ Supervised and unsupervised learning
▸ Training and testing datasets
▸ Linear and logistic regression
▸ Decision trees and random forests
▸ K-Nearest Neighbors
▸ Scikit-learn fundamentals
Module 10
Advanced Machine Learning
Advanced Machine Learning
▸ K-means clustering
▸ Hierarchical clustering
▸ PCA fundamentals
▸ Feature engineering
▸ Feature scaling and encoding
▸ Overfitting and underfitting
▸ Cross-validation and hyperparameter tuning
Module 11
Model Evaluation and Deployment
Model Evaluation and Deployment
▸ MAE, MSE, RMSE and R²
▸ Accuracy, precision, recall and F1-score
▸ Confusion matrix and ROC-AUC
▸ Model comparison and selection
▸ Model serialization using joblib
▸ Building APIs using FastAPI
▸ Basic deployment
Module 12
Final Project
Final Project
✔ Collect and understand a real dataset
✔ Clean and preprocess data
✔ Perform EDA
✔ Create visualizations
✔ Extract business insights
✔ Train and evaluate an ML model
✔ Create a final report/dashboard
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INDUSTRIES WE SERVE
INDUSTRY SPECIFIC TRAINING
Our primary approach is to provide industry-specific training to our learners who have a zeal for working in corporate environments that adhere to respective industries. We offer training which can be acceptable for different industries.
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