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IT Course

Data Science

A complete data science path — Python, statistics, ML, Advanced Excel, SQL, and Power BI.

PythonStatisticsMachine LearningAdvanced ExcelSQLPower BICapstone Project
About This Course

Data Science

Our most comprehensive data course — covering the full data science workflow from Python and statistics through machine learning, plus the business-analytics tools companies expect: Advanced Excel, SQL, and Power BI.

Course Curriculum

1
Python Foundations
Python internals and architecture, Anaconda/Jupyter setup, and core data types.
2
Files & Data Structures in Python
Reading/writing files, variable naming rules, lists, tuples, sets, and dictionaries.
3
Loops & Conditionals
If/elif/else conditions and for/while loops.
4
NumPy & Pandas
Array-based data analysis with NumPy, and data manipulation/analysis with Pandas.
5
Data Visualization
Exploratory visualization using Matplotlib and Seaborn.
6
Statistical Thinking
Central tendency, dispersion, and IQR-based statistics.
7
Supervised & Unsupervised Learning
Classification, regression, linear regression and its metrics.
8
Logistic Regression
Theory, metrics, and hands-on practice.
9
Data Preprocessing
Standardization, normalization, missing values, outliers, and feature scaling/selection.
10
Tree-Based Models
Decision trees, bagging, boosting, and random forests.
11
Neural Network Fundamentals & Capstone Project
Applying the full toolchain on a real dataset.
12
Advanced Excel
Excel functions, conditional formatting, pivot tables, and dashboards.
13
SQL
Database schema basics, key SQL clauses, and joins.
14
Power BI
Power BI desktop, ETL pipelines, DAX calculated fields, report visualization, and Power BI AI features.
Career Outcomes

After Completing This Course

🎯Data Analyst
🎯Business Intelligence Analyst
🎯Junior Data Scientist

Course Details

Fee₹4,999
Duration32–38 Hrs
ModeClassroom & Online
EligibilityAny graduate (Science/Commerce/Arts background welcome)
CertificateYes, on completion
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