Data Analytics Program

  • High Demand In Business And It: Data analytics is in demand because companies need professionals who can analyze data, create reports, and support decision-making.
  • Useful For Multiple Backgrounds: Data analytics is suitable for learners from commerce, management, computer science, and non-technical backgrounds.
  • Build Decision-making Skills: Learners understand how to convert raw data into meaningful insights, dashboards, reports, and business recommendations.
1.5 Months ₹11,999 ₹8,999
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Data Analytics Program
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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 45 days course helps learners build a strong foundation in Excel, SQL, Python basics, statistics, data cleaning, dashboard creation, KPI reporting, Power BI basics, and practical 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 Statistics.

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

Practical Analytics Project Development: Develop Projects Like Sales Analysis Dashboards, Customer Reports, Business Kpi Dashboards, And Small Analytics Case Studies.

Course Content

  • • Understanding data analytics fundamentals
  • • Exploring types of data analytics
  • • Learning data analytics lifecycle
  • • Understanding data-driven decisions
  • • Exploring real-world analytics applications
  • • Understanding business problem solving
  • • Setting up analytics environment

  • • Understanding excel interface and tools
  • • Cleaning and formatting business data
  • • Using formulas for data analysis
  • • Working with logical excel functions
  • • Using vlookup and xlookup functions
  • • Creating pivot tables and charts
  • • Building interactive excel dashboards
  • • Tracking kpis using excel reports
  • • Creating business performance reports

  • • Understanding database management concepts
  • • Writing sql query statements
  • • Filtering and sorting database records
  • • Using aggregate functions efficiently
  • • Working with group by queries
  • • Understanding sql joins and relationships
  • • Using subqueries for data analysis
  • • Creating reports from database data
  • • Solving business problems using sql

  • • Learning python programming fundamentals
  • • Understanding variables and data types
  • • Working with conditional statements logic
  • • Using loops for data processing
  • • Creating functions and reusable modules
  • • Managing data with python collections
  • • Understanding file handling concepts
  • • Exploring python libraries for analytics

  • • Understanding numpy for data operations
  • • Working with arrays and calculations
  • • Learning pandas for data analysis
  • • Managing data using dataframes
  • • Reading csv and excel files
  • • Cleaning and preparing datasets
  • • Handling missing data efficiently
  • • Transforming data for better analysis
  • • Performing exploratory data analysis

  • • Understanding mean, median, and mode
  • • Learning variance and standard deviation
  • • Exploring probability and data patterns
  • • Understanding correlation between variables
  • • Identifying trends and outliers
  • • Applying statistics in data analysis

  • • Understanding data visualization concepts
  • • Creating charts for data analysis
  • • Working with matplotlib and seaborn
  • • Building interactive business dashboards
  • • Understanding kpi and metrics tracking
  • • Presenting insights through visual stories

  • • Understanding power bi fundamentals
  • • Importing and cleaning business data
  • • Creating interactive reports and dashboards
  • • Working with power query editor
  • • Understanding data modeling concepts
  • • Creating kpi performance dashboards
  • • Building business intelligence reports

  • • Understanding business reporting workflow
  • • Analyzing customer behavior patterns
  • • Exploring sales and revenue analysis
  • • Creating business performance reports
  • • Solving real-world data problems

  • • Planning real-world analytics projects
  • • Cleaning and preparing project data
  • • Building interactive analytics dashboards
  • • Creating final data analysis reports
  • • Presenting insights and recommendations

  • • Power bi dashboard development
  • • Data cleaning & formatting task
  • • Sql query optimization exercise

  • • Gym membership analytics system
  • • Social media analytics dashboard

Skills Developed with Data Analytics Course

Excel Analytics: Learn excel formulas, logical functions, lookup basics, pivot tables, charts, conditional formatting, and dashboard creation.
Sql For Reporting: 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, 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 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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