Professional Data Analytics Bootcamp

  • High Demand In Business And It: Data analytics is in demand because companies need professionals who can analyze data, create reports, build dashboards, and support decision-making.
  • Useful For Multiple Backgrounds: Data analytics is suitable for learners from commerce, management, computer science, and non-technical backgrounds because it focuses on practical data understanding.
  • Build Decision-making Skills: Learners understand how to convert raw data into meaningful insights, dashboards, visual reports, and business recommendations.
2 Months ₹18,999 ₹14,999

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Professional Data Analytics Bootcamp
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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 2 months course helps learners build practical analytics skills using Excel, SQL, Python, statistics, data cleaning, Power BI, dashboard development, KPI reporting, business intelligence basics, and real-world analytics project development.

Course with Live Project

No Refund Available

Business Data Analysis Tools: Learners Work With Excel, Sql, Python, Pandas, Numpy, Statistics, And Power Bi To Analyze And Understand Business Data.

Dashboard And Kpi Reporting: The Course Focuses On Excel Dashboards, Power Bi Reports, Kpi Cards, Charts, Slicers, Filters, And Business Performance Reporting.

Practical Analytics Project Development: Develop Projects Like Gym Membership Analytics, Social Media Analytics Dashboards, Sales Reports, Customer Analysis, And Business Kpi Dashboards.

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
  • Learning analytics career opportunities

  • 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
  • Applying conditional formatting techniques
  • Building interactive excel dashboards
  • Tracking kpis through 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
  • Working with window functions
  • 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
  • Generating data insights efficiently

  • 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 forecasting basics

  • 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
  • Designing professional dashboard layouts

  • 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
  • Sharing reports across teams

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

  • Assignments
  • Business data reporting task
  • Dashboard visualization exercise
  • Kpi tracking analysis
  • Excel advanced functions task

  • Hospital analytics system
  • Retail chain kpi dashboard
  • Hr performance analytics platform

Skills Developed with Data Analytics Course

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

Sql Data Assistant:

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

Excel Analytics Assistant:

Use excel formulas, charts, pivot tables, dashboards, and reports 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, social media analytics, and business summaries.
Industry-relevant Tools: The course covers excel, sql, python basics, pandas, numpy, power bi, charts, dashboards, and reporting tools.
Mentor-guided Project Support: Learners receive mentor support for concept clarity, assignments, dashboard creation, report building, and project development.
Strong Foundation For Advanced Analytics Learning: The course prepares learners for 3 months, 4 months, and 6 months advanced data analytics programs.

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