Data Analyst

Programming Fundamentals

  • Python Basics: Variables, Functions, Loops, Conditionals
  • Data Structures: Lists, Tuples, Dictionaries
  • Libraries:
    • Pandas (for data manipulation)
    • NumPy (for numerical operations)
    • Matplotlib/Seaborn (for data visualization)

Data Collection & Cleaning

  • Data Collection: Importing data (CSV, Excel, SQL, APIs)
  • Data Cleaning:
  • Handling missing data (imputation, deletion)
  • Removing duplicates
  • Data type conversion
  • Data Transformation: Reshaping, Merging, Aggregation

Exploratory Data Analysis (EDA)

  • Summary Statistics: Mean, Median, Mode, Standard Deviation
  • Visualizations:
    • Histograms, Bar charts, Boxplots
    • Correlation heatmaps, Pair plots
  • Outlier Detection: Z-scores, IQR method

Data Visualization

  • Visualization Tools:
  • Matplotlib: Basic plots (line, scatter, bar)
  • Seaborn: Advanced plots (heatmaps, pair plots, violin plots)
  • Plotly: Interactive plots
  • Dashboarding: Introduction to Tableau or Power BI

Data Analysis Techniques

  • Time Series Analysis: Trend, Seasonality, Moving averages
  • Correlation Analysis: Pearson, Spearman correlation
  • Group Analysis: GroupBy in Pandas, Aggregation functions

SQL for Data Analysis

  • SQL Basics: SELECT, WHERE, JOIN, GROUP BY, ORDER BY
  • Advanced SQL: Subqueries, Window Functions, Aggregation, CTEs
  • SQL Optimization: Indexing, Query performance

Reporting & Communication

  • Data Storytelling: Presenting insights and results
  • Reports: Writing clear and concise data reports
  • Presentation Skills: Using visualization tools to present findings

Power BI Syllabus

Introduction to Power BI

  • Overview of Power BI: Understanding the components (Power BI Desktop, Power BI Service, Power BI Mobile)
  • Power BI Interface: Navigating the Power BI Desktop environment
  • Power BI Desktop vs Power BI Service: Key differences and use cases
  • Power BI File Types: .pbix, .pbit, .csv, .xlsx

Data Loading & Transformation (Power Query)

  • Power Query Editor: Basic data transformations
    • Removing columns, Renaming columns
    • Changing data types, Removing duplicates
    • Filtering and Sorting data
  • Importing Data: Connecting to various data sources (Excel, CSV, SQL, Web, etc.)
  • M Language Basics: Introduction to Power Query M language for advanced data transformation

Data Modeling

  • Creating Relationships: Building relationships between tables (One-to-One, One-to-Many, Many-to-Many)
  • Star Schema and Snowflake Schema: Best practices for data modeling
  • Managing Relationships: Relationship properties, Cross-filter direction
  • Creating Calculated Columns & Measures: Introduction to DAX (Data Analysis Expressions)

Data Visualization

  • Power BI Visualizations: Overview of available visualizations (Bar charts, Line charts, Pie charts, Tables, Matrix, etc.)
  • Custom Visuals: Using custom visuals from AppSource
  • Building Reports: Creating interactive reports with visuals
  • Adding Titles, Tooltips, Filters, and Slicers
  • Conditional formatting, Data labels, and Themes
  • Interactive Features: Drill-down, Drill-through, and Hierarchies

Advanced DAX (Data Analysis Expressions)

  • Basic DAX Functions: SUM, AVERAGE, COUNTROWS, etc.
  • Filter Context and Row Context: Understanding row and filter context in DAX
  • Time Intelligence Functions: DATESYTD, SAMEPERIODLASTYEAR, etc.
  • Advanced DAX Functions: CALCULATE, FILTER, ALL, RELATED, and more
  • Dynamic Measures: Creating dynamic KPIs, performance metrics

Power BI Services & Cloud

  • Power BI Service Overview: Creating workspaces, Dashboards, and Reports
  • Publishing Reports: Publishing Power BI reports to the Power BI Service
  • Sharing and Collaboration: Sharing reports with users, Creating apps
  • Power BI Gateway: Configuring and using On-Premises Data Gateway for data refresh

Data Refresh & Security

  • Scheduled Data Refresh: Setting up data refresh in Power BI Service
  • Row-Level Security (RLS): Implementing RLS to restrict data access based on user roles
  • Configuring Data Sources: Managing credentials and data source settings

Power BI Dashboarding & Reporting

  • Creating Dashboards: Pinning visuals and reports to dashboards
  • Dashboard Interactivity: Using slicers and filters on dashboards
  • Publishing & Sharing Dashboards: Best practices for sharing dashboards with stakeholders
  • Subscriptions & Alerts: Setting up report subscriptions, email alerts

Power BI Integration

  • Power BI and Excel Integration: Importing and analyzing Power BI data in Excel
  • Power BI and SharePoint Integration: Embedding Power BI reports in SharePoint Online
  • Power BI Embedded: Embedding Power BI visuals in other applications

Capstone Project

  • End-to-End Power BI Project:
  • Data Collection and Import
  • Data Transformation using Power Query
  • Building Interactive Dashboards and Reports
  • Publishing and Sharing reports with stakeholders
  • Incorporating Advanced DAX and Performance Optimization

Project Work

Best Training Institute for IT Software Hardware & Networking Courses in LucknowClick to call
Best Training Institute for IT Software Hardware & Networking Courses in LucknowEnquiry Now