Industry-Focused Training

Data Analytics Essentials

Learn to analyse data to make it more productive and efficient

Discover the Program

Build Skills.Create Opportunities.

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.

Data Analytics Essentials training program
LearnPracticeBuild
Program Structure

Designed AroundYour Growth

A structured learning experience focused on practical knowledge, technical skills, and real-world implementation.

01
Program Duration

1 Months

02
Learning Hours

40 Hours

03
Daily Commitment

4 Hours

04
Training Schedule

30 Days

Learning Outcomes

What You WillLearn

Explore the important concepts and technologies covered throughout this training program.

01

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.

02

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.

03

build decision-making skills: learners understand how to convert raw data into meaningful insights, dashboards, reports, and business recommendations.

Why This Program

An Experience BeyondClassroom Learning

Discover the elements that make this program a practical learning experience.

01

business data analysis foundation: learners understand how to clean, organize, analyze, and interpret business data using excel, sql, python, and basic statistics.

Program Feature
02

dashboard and reporting basics: work with excel dashboards, power bi basics, charts, kpi reports, business summaries, and visual data presentation.

Program Feature
03

beginner-level analytics projects: develop practical projects like sales analysis dashboards, customer data reports, business kpi reports, and small analytics case studies.

Program Feature
Your Skillset

Develop Skills ThatMatter in the Industry

Skills Developed with Data Analytics Course

01excel analytics: learn excel formulas, logical functions, lookup basics, pivot tables, charts, conditional formatting, and basic dashboard creation.
02sql basics: work with sql queries, filtering, sorting, aggregate functions, group by, joins basics, and si
Beyond Training

Prepare for YourNext Career Opportunity

Career Opportunities after Data Analytics Course

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.

Your Next Step

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.

Start Your Journey

Ready to Build YourFuture With Us?

Take the next step towards practical learning, technical expertise, and career growth.