Advanced Analytics Career Track

  • 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 business decisions.
  • Useful For Multiple Backgrounds: Data analytics is suitable for learners from commerce, management, computer science, and non-technical backgrounds because it focuses on practical business data understanding.
  • Build Strong Decision-making Skills: Learners understand how to convert raw data into meaningful insights, dashboards, reports, trends, and business recommendations.
3 Months ₹22,999 ₹16,999
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Advanced Analytics Career Track
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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 3 months course helps learners build job-oriented Data Analytics skills using Excel, SQL, Python, statistics, data cleaning, Power BI, dashboard development, KPI reporting, business intelligence, trend analysis, and real-world analytics projects.

Course with Live Project

No Refund Available

Complete Analytics Tool Training: Learners Work With Excel, Sql, Python, Pandas, Numpy, Statistics, And Power Bi To Analyze And Present Business Data Professionally.

Dashboard And Business Reporting: The Course Focuses On Excel Dashboards, Power Bi Reports, Kpi Tracking, Data Visualization, Business Summaries, And Interactive Reporting.

Portfolio-based Analytics Projects: Develop Practical Projects Like College Placement Analytics, E-commerce Customer Insights, Sales Dashboards, Hr Reports, And Business Performance Analysis.

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 intelligence concepts
  • • Learning analytics career opportunities
  • • 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
  • • Applying conditional formatting techniques
  • • Using advanced excel functions
  • • 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
  • • Understanding stored procedures concepts
  • • 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
  • • Handling errors and exceptions
  • • 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 insights from datasets

  • • 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
  • • Measuring data accuracy metrics

  • • Understanding data visualization concepts
  • • Creating charts for data analysis
  • • Working with matplotlib and seaborn
  • • Understanding correlation heatmaps
  • • Building interactive data dashboards
  • • Presenting insights through visual stories
  • • Designing professional dashboard layouts
  • • Creating data-driven reports

  • • 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
  • • Using dax functions basics
  • • Sharing reports across teams

  • • Understanding end-to-end analytics workflow
  • • Solving real-world business problems
  • • Analyzing customer behavior patterns
  • • Understanding sales performance analysis
  • • Creating business insight reports
  • • Supporting data-driven decisions

  • • Understanding predictive analytics concepts
  • • Learning forecasting for data trends
  • • Identifying business growth patterns
  • • Understanding future trend analysis
  • • Applying prediction models on data
  • • Supporting strategic business decisions

  • • Business insight reporting
  • • Customer data analysis task
  • • Interactive dashboard creation
  • • Trend analysis exercise
  • • Sql reporting challenge

  • • 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, pivot charts, conditional formatting, and dashboard creation.
Sql For Data Analysis: Work with sql queries, filtering, sorting, aggregate functions, group by, joins, subqueries, window functions basics, and business reports.
Python For Analytics: Learn python fundamentals, data types, conditions, loops, functions, file handling, and automation for analytics tasks.
Pandas And Numpy: Practice dataframe handling, csv and excel files, filtering, sorting, grouping, merging, missing value handling, and data transformation. statistics for analytics: understand mean, median, mode, variance, standard deviation, probability, correlation, trend analysis, and forecasting basics.
Data Cleaning And Preparation: 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, data modeling basics, kpi cards, slicers, filters, visuals, and interactive report creation.
Business Intelligence Reporting: Prepare sales reports, customer reports, kpi summaries, performance dashboards, and business insight documents.
Analytics Project Development: 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.

Junior Data Analyst:

Work on business datasets, perform analysis, create reports, build dashboards, and support decision-making teams.

Business Intelligence Assistant:

Help create power bi dashboards, kpi reports, data summaries, and business intelligence visuals.

Sql Data Analyst Beginner Role:

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

Power Bi Dashboard Developer Beginner Role:

Build dashboards, kpi cards, slicers, filters, visuals, and interactive reports for business users.

Why Enroll in Data Analytics with Solitaire Learning?

Beginner-to-intermediate Analytics Training: The course starts from excel, sql, statistics, and data basics, then moves toward python, power bi, and dashboard projects.
Practical Dashboard-based Learning: Learners work on real-world tasks like sales dashboards, kpi reports, customer analysis, hr 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, data analysis, and portfolio preparation.
Strong Foundation For Advanced Analytics: The course prepares learners for 4 months and 6 months advanced data analytics programs with deeper bi, reporting, and industry-level projects.

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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