Data Analytics Essentials

  • High Demand In The It And Business Industry: Data analytics is in demand because companies need professionals who can analyze data, create reports, and support business decisions.
  • Useful For Technical And Non-technical Learners: Data analytics is suitable for learners from commerce, management, computer science, and other backgrounds because it focuses on practical data understanding.
  • Build Decision-making Skills: Learners understand how to convert raw data into meaningful insights, dashboards, reports, and business recommendations.
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Course Overview

Data Analytics is the process of collecting, cleaning, analyzing, visualizing, and interpreting data to support better business decisions. This 1 month course helps learners build a strong foundation in Excel, SQL basics, Python basics, statistics, data cleaning, dashboard creation, KPI reporting, Power BI basics, and beginner-level analytics project development.

Course with Live Project

No Refund Available

Business Data Analysis Foundation: Learners Understand How To Clean, Organize, Analyze, And Interpret Business Data Using Excel, Sql, Python, And Basic Statistics.

Dashboard And Reporting Basics: Work With Excel Dashboards, Power Bi Basics, Charts, Kpi Reports, Business Summaries, And Visual Data Presentation.

Beginner-level Analytics Projects: Develop Practical Projects Like Sales Analysis Dashboards, Customer Data Reports, Business Kpi Reports, And Small Analytics Case Studies.

Course Content

  • • Introduction to data analytics
  • • What is data analytics?
  • • Types of data analytics
  • • Data analytics lifecycle
  • • Role of data analyst in organizations
  • • Applications of data analytics across industries
  • • Understanding business problems through data

  • • Excel interface and data management
  • • Data cleaning techniques
  • • Sorting and filtering data
  • • Formulas and functions
  • • Conditional formatting
  • • Data validation
  • • Pivot tables and pivot charts
  • • Dashboard creation in excel

  • • Introduction to databases
  • • Sql basics
  • • Select, where, order by
  • • Filtering and sorting data
  • • Aggregate functions
  • • Group by and having
  • • Sql joins
  • • Subqueries basics
  • • Data extraction for reporting

  • • Python basics for analytics
  • • Variables and data types
  • • Conditional statements and loops
  • • Functions in python
  • • Introduction to numpy
  • • Introduction to pandas
  • • Working with dataframes
  • • Reading csv and excel files
  • • Data cleaning basics

  • • Mean, median, mode
  • • Standard deviation & variance
  • • Probability basics
  • • Correlation analysis
  • • Trend analysis
  • • Outlier detection
  • • Descriptive statistics

  • • Introduction to power bi
  • • Data import and cleaning
  • • Power query basics
  • • Data modeling concepts
  • • Charts and visualizations
  • • Kpi dashboard development
  • • Interactive reports and filters
  • • Business reporting using power bi

  • • Data visualization principles
  • • Choosing appropriate charts
  • • Data storytelling techniques
  • • Kpi and metric analysis
  • • Business reporting best practices
  • • Insight presentation techniques

  • • Excel kpi dashboard creation
  • • Sql business report analysis

  • • Local store sales analytics dashboard

Skills Developed with Data Analytics Course

Excel Analytics: Learn excel formulas, logical functions, lookup basics, pivot tables, charts, conditional formatting, and basic dashboard creation.
Sql Basics: Work with sql queries, filtering, sorting, aggregate functions, group by, joins basics, and simple business reports.
Python For Analytics: Learn python fundamentals, data types, conditions, loops, functions, file handling, and basic automation for analytics tasks.
Pandas And Numpy Basics: Practice dataframe handling, csv files, filtering, sorting, missing value handling, and basic data transformation.
Statistics Basics: Understand mean, median, mode, variance, standard deviation, probability basics, correlation, and trend analysis.
Data Cleaning: Work with missing values, duplicate records, incorrect formats, inconsistent data, and clean dataset preparation.
Data Visualization: Create charts, graphs, line plots, bar charts, pie charts, dashboards, and visual business reports.
Power Bi Basics: Learn data import, power query basics, simple visuals, kpi cards, slicers, dashboards, and report creation.
Business Reporting: Prepare sales reports, customer reports, kpi summaries, performance dashboards, and basic business insight documents.
Analytics Project Skills: Practice cleaning data, analyzing datasets, creating dashboards, generating insights, and presenting final reports.

Career Opportunities after Data Analytics Course

This course opens doors to multiple high-demand career paths across industries.

Data Analyst Intern:

Support analytics teams by cleaning data, preparing reports, creating dashboards, and generating business insights.

Business Reporting Assistant:

Prepare excel reports, kpi summaries, business dashboards, and performance tracking documents.

Power Bi Beginner Role:

Create basic power bi dashboards, visuals, kpi cards, and interactive business reports.

Sql Data Assistant:

Work with databases, write basic queries, extract data, and prepare structured reports for analysis.

Excel Analytics Assistant:

Use excel formulas, charts, pivot tables, and dashboards to analyze and present business data.

Why Enroll in Data Analytics with Solitaire Learning?

Beginner-friendly Analytics Training: The course starts from excel, sql, statistics, and data basics, making it suitable for learners from different backgrounds.
Practical Dashboard-based Learning: Learners work on real-world tasks like sales dashboards, kpi reports, customer analysis, and business summaries.
Industry-relevant Tools: The course covers excel, sql, python basics, pandas, numpy, power bi basics, charts, dashboards, and reporting tools.
Mentor-guided Learning: Learners receive mentor support for concept clarity, assignments, dashboard creation, report building, and project development.
Strong Foundation For Advanced Analytics Courses: The course builds a solid base before moving into 45 days, 2 months, 3 months, 4 months, or 6 months data analytics programs.

Ready to Take the Next Step in Your Career?

Join our expert-led training program, gain industry-recognized skills, and move closer to your professional goals. Seats are limited — enroll today!

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