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DataLen Training Program
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Our comprehensive data science and analytics training covers essential skills from introduction to data science through advanced visualization. Secure your spot for our next cohort.
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Curriculum Overview
Introduction to Data Science
- —What is Data Science?
- —Overview of Data Landscape
- —Careers in Data: Data Analyst, Data Scientist, Data Engineer, BI Analyst, ML Engineer
- —Data-Driven Decision Making in Business
- —Types of data: structured vs unstructured; qualitative vs quantitative
- —The data lifecycle
- —Introduction to Databases
- —Tools & Technologies Overview (Excel, SQL, Python, Tableau, Power BI)
- —Fundamentals of Data Ethics & Privacy
Statistics & Probability for Data Science
- —Descriptive vs. Inferential Statistics
- —Measures of central tendency and spread
- —Probability Theory & Distributions
- —Hypothesis Testing & Confidence Intervals
- —Correlation & Regression Analysis
SQL & Databases
- —Introduction to Databases - tables and relationships
- —CRUD operations
- —Joining Operations - INNER, LEFT, RIGHT, FULL JOINS
- —Filtering, Aggregation, Grouping
- —Constraints and Database Schema Design
- —Data Normalization (1NF, 2NF, 3NF)
Python for Data
- —Python Basics - Variables, Lists, Dictionaries
- —Pandas and NumPy for Data Analysis
- —Exploratory Data Analysis (EDA)
- —Data Transformation and Feature Engineering
- —Data Visualization with Matplotlib and Seaborn
Data Analysis & Visualization
- —Data Visualization - Histograms, Boxplots, Scatterplots
- —Tools: Tableau, Power BI, Looker
- —Storytelling with Data
- —Hands-on Projects: Sales Analysis, Customer Segmentation