Cadpro Computer Institute

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433, 434 Behind J&K Bank, Begum Bridge Road near Kalyan Jewellers, Meerut, U.P. (250001)

Data Analyst Course

Data Analyst Course

Module 1: Introduction to Data Analysis

Lesson 1: Overview of Data Analysis

  • Definition of Data Analysis
  • Importance of Data Analysis in decision-making
  • Role of a Data Analyst in various industries

Lesson 2: Types of Data

  • Understanding structured and unstructured data
  • Different data sources: databases, spreadsheets, APIs
  • Overview of data formats: CSV, JSON, Excel

Lesson 3: Basics of Statistics

  • Descriptive statistics: mean, median, mode
  • Dispersion measures: range, variance, standard deviation
  • Inferential statistics: hypothesis testing, confidence intervals

Module 2: Data Cleaning and Preprocessing

Lesson 1: Data Cleaning Techniques

  • Identifying and handling missing data
  • Dealing with outliers
  • Removing duplicate records

Lesson 2: Data Transformation

  • Data normalization and standardization
  • Handling categorical data: encoding techniques
  • Feature scaling for machine learning models

Lesson 3: Exploratory Data Analysis (EDA)

  • Visualizing data distributions
  • Correlation analysis
  • Uncovering patterns and trends

Module 3: Data Visualization

Lesson 1: Introduction to Data Visualization

  • Importance of visualization in data analysis
  • Types of charts and graphs
  • Choosing the right visualization for different scenarios

Lesson 2: Tools for Data Visualization

  • Overview of popular visualization tools (e.g., Tableau, Matplotlib, Seaborn)
  • Creating interactive visualizations
  • Customizing visualizations for effective communication

Module 4: Introduction to SQL for Data Analysts

Lesson 1: Basics of SQL

  • Understanding databases and tables
  • SELECT statements and querying data
  • Filtering, sorting, and aggregating data

Lesson 2: Advanced SQL Queries

  • JOIN operations for combining data from multiple tables
  • Subqueries and nested queries
  • Data manipulation using UPDATE, INSERT, DELETE statements

Module 5: Introduction to Python for Data Analysis

Lesson 1: Python Basics

  • Introduction to Python programming language
  • Data types, variables, and basic operations
  • Control flow and loops

Lesson 2: Data Manipulation with Pandas

  • Introduction to Pandas library
  • DataFrames and Series
  • Data cleaning and manipulation using Pandas

Lesson 3: Data Visualization with Matplotlib and Seaborn

  • Creating static and interactive plots
  • Customizing visualizations in Python
  • Combining data analysis and visualization in Python

Module 6: Introduction to Machine Learning

Lesson 1: Basics of Machine Learning

  • Overview of machine learning concepts
  • Types of machine learning: supervised, unsupervised, and reinforcement learning
  • Applications of machine learning in data analysis

Lesson 2: Building and Evaluating Models

  • Splitting data into training and testing sets
  • Model training and evaluation
  • Common machine learning algorithms for data analysis

Also Include:

Advance Excel

Power BI