Data Analytics

Career-Focused Data Analytics Program in Kerala – Designed for Working Professionals

Enroll for Data Analytics courses at Skillspark, the leading Data Analytics training institute in Kerala, and master data analysis, visualization, and predictive modeling. Learn industry-relevant tools to build a successful career in data analytics.

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Upgrade your skills and be competent for the on demand jobs with this Data Analytics Course

Syllabus - Modules of Data Analytics course

Module 1: Advanced Excel

Advanced Excel

Introduction to Advanced Excel | Excel sheet Creation, edit, save, Folder Creation | Project 1

Conditional Formatting & Data Validation

Cell reference, Conditional formatting| Data validation| Important functions in Excel, Remove duplicate values, Hyperlink| Filter, Unique, Sort, SortBY, Sequence, Randarray Functions|

Logical & Statistical functions

Advanced Pivot Table

Classic pivot table and chart| Slicers, timelines and calculated fields| Building hierarchies in pivot tables| Advanced Pivot table data analysis

Advanced Formula for Data Analysis

Custom view, Header and footer, Text to column function| Goal seek, Solver, Scenario manager| Lookup| Project| Match and index function, Consolidating data

Advanced Formula for Data Analysis

Sparkline chart, People graph, Data forecast, Import text file| Mail merge, Consolidating data| Form data, Auditing tool, Web data, Speak cell | Macro, Password protection

Data Preparation and Cleaning

Importing data from various sources. | Handling missing values and duplicates. | Using Text-to-Columns and Flash Fill. | Data validation and error checking for quality assurance.|

Date and Time Analysis

Working with DATE, TIME, NETWORKDAYS, and EOMONTH. | Automating rolling date ranges for dynamic reports. | Calculating time differences in hours, minutes, and seconds. | Custom formatting for date and time (e.g., “MMM-YYYY”). | Dynamic date ranges and custom date logic with WEEKNUM, WORKDAY.INTL

Power Query (Get & Transform)

Importing and cleaning data from various sources| Merging and appending queries| Advanced filtering and transforming data

Introduction to Dashboard Design

Understanding the importance of dashboards | Planning a dashboard project| Data visualization best practices| Advanced Charts

Module 2: Power BI

Introduction to Power BI

Introduction to Power BI. | Power BI installation. | Main components of Power BI.

Data Import and Transformation

Power Query intro-User Interface

Power Query intro-User Interface| Data Consolidation in Power BI | Case Study -Payroll Data |

Advanced Visualizations and Data Consolidation

Advanced visualizations. | Data Modeling Intro-Start Schema| Case Study Sales Analysis| Snowflake Schema|

DAX Functions

Statistical and Text Functions

Statistical functions (SUM, SUMX, MIN, MINX, AVERAGEX). | Text functions (LEN and others). | Hierarchy reports| Filter Functions|

Designing Interactive Dashboards

Project

Top 10 Tricks in Power BI| Project 1, Project 2, Project 3

Module 3: Smart Data Collection for Professionals Using Google Forms

Collecting data from multiple sources often leads to delays and inefficiencies, especially for busy professionals. This module introduces Google Forms as a simple yet powerful tool that streamlines data collection, automates responses, and centralizes information—saving time and improving productivity across departments.

Module 4: Effortless Data Management with Google Sheets

Managing large data sets can be challenging for busy professionals. This module shows how Google Sheets simplifies data handling and analysis with real-time collaboration, smart functions, and easy access—saving time and improving accuracy.

Module 1: Introduction to Google Sheets

Introduction to Google Sheets. | Practical use of the IF formula in Google Sheets. | Removing duplicates in Google Sheets.

Module 2: Data Collection and Import

Data collection and importing techniques. | Split function. | Image function. | Searchable drop-down list.

Module 3: Advanced Functions and Features

Creating advanced filters using multiple conditions. | Mini calendar and date picker. | Picture lookup. | MAX & MIN functions in Google Sheets.

Module 4: Practical Applications

Creating checklists in Google Sheets. | Stock management with Google Sheets. | Creating attendance trackers in Google Sheets. | Using pivot tables in Google Sheets.

Module 5: Collaboration

Collaborating on spreadsheets with multiple users. | Importing and sharing sheets with others.

Module 6: Add-ons and Assistance

Exploring add-ons for Google Sheets. | Using ChatGPT to create complex formulas. | Utilizing the Help function effectively.

Module 5: Professional Dashboard Creation and Advanced Techniques

In today’s AI-driven data analytics era, Excel dashboards are vital for turning complex data into clear, actionable insights. This module teaches you to create dynamic, interactive dashboards that support real-time decision-making through smart data structuring, advanced formulas, and effective visual storytelling.

1. Purpose and Benefits of Dashboards in Business

Understand the role of dashboards in visualizing KPIs, trends, and actionable insights.
Learn how dashboards support faster and smarter decision-making.
Explore real-world use cases of dashboards across departments (finance, sales, HR, operations).

2. Key Principles of Effective Dashboard Design

Learn the essentials of dashboard layout and user interface (UI) best practices.
Understand the importance of clarity, simplicity, and interactivity.
Use the right chart types and visuals to represent different data stories effectively.
Maintain consistency in design with fonts, colors, and data labels.

3. Structuring Raw Data for Analysis

Clean and transform raw data into structured, analyzable formats.
Use techniques like unpivoting, filtering, and standardizing inputs.
Learn how structured data enables scalable and error-free dashboards.

4. Using Tables and Named Ranges

Convert datasets into Excel Tables for dynamic referencing and better data management.
Use structured references in formulas for clarity and ease of use.
Implement named ranges to simplify complex formulas and enhance readability.

5. Data Validation and Error Checking

Set rules and constraints to ensure data integrity using data validation tools.
Build user-friendly forms for data entry within dashboards.
Implement error-checking mechanisms like IFERROR, conditional formatting, and audit tools to avoid misleading visuals.

Module 6 (a): Data Analytics in Payroll Management

Payroll Management Dashboard
Importing employee payroll data. | Handling salary components (basic, allowances, deductions). | Net pay computation. | Overtime and bonus calculations. | Tax and statutory compliance computations.

Module 6 (b): Data Analytics in Financial Analytics

Module 6 (c): Data Analytics in HR Management

HR Management
Importing employee data (demographics, performance metrics). | Employee turnover and retention rates. | Performance scoring and appraisal summaries. | Training needs assessment. | Workforce analytics visuals. | Interactive filters by department, role, or location. | Employee satisfaction and engagement indicators.

Module 6 (d): Data Analytics in Inventory Management

Inventory Management
Importing inventory levels, sales orders, and purchase orders. | Stock levels and reorder points. | Inventory aging analysis. | Supplier performance metrics. | Real-time stock monitoring visuals. | Alerts for low stock and overstock situations. | Sales vs. inventory turnover graphs.

Module 6 (e): Data Analytics in Project Management

Why should you choose Data Analytics Courses?

The Data Analytics course at Skillspark is designed to equip students with analytical skills, data visualization techniques, and statistical methods for effective data-driven decision-making. This program covers essential tools like Python, SQL, Excel, Power BI, and Tableau, helping learners develop expertise in analyzing business data. Whether you are a beginner or a working professional, this course prepares you for in-demand roles in data science and analytics.

Data Analytics Course Benefits

Skillspark is a premier Data Analytics training institute in Kerala, offering hands-on learning with real-world datasets. Our expert-led training ensures that students gain practical experience in business intelligence, data mining, and predictive analytics, making them job-ready.

Course Highlights

Why Choose This Course?

Industry-Oriented Curriculum – Learn data handling, statistical analysis, business intelligence, and machine learning fundamentals.
Hands-On Projects – Work on live projects using Python, SQL, Power BI, and Tableau for real-world applications.
Expert Mentorship – Get trained by experienced professionals from the analytics industry.
Practical Exposure – Gain experience in data cleaning, visualization, predictive modeling, and decision-making techniques.
Placement Assistance – Get guidance for job placements, interview preparation, and resume building.

Who Should Enroll?

Fresh graduates looking to build a career in data analytics
IT and business professionals looking to upskill in data science
Marketing and finance professionals aiming to leverage data for decision-making
Entrepreneurs who want to use data-driven strategies for business growth

Career Opportunities

What’s Next?

After completing the Data Analytics course at Skillspark, students can explore roles such as:

Data Analyst – Analyze large datasets to extract meaningful business insights.
Business Analyst – Use data to improve business processes and strategies.
Data Scientist – Build predictive models and machine learning algorithms.
BI Analyst – Develop business intelligence reports using visualization tools.
Financial Analyst – Analyze financial data to assist in investment decisions.
Marketing Analyst – Study consumer behavior and optimize marketing campaigns.

Frequently Asked Questions on Data Analytics

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Who is this course suitable for?

Data Analytics Course in Kerala is suitable for beginners interested in data, professionals looking to shift careers, and anyone keen to enhance their data interpretation skills.

What tools or software will I learn during the course?

Typically, data analytics courses cover tools like Excel, SQL, Python, R, and specialized software like Tableau or PowerBI, among others.

Are there any job opportunities after completing a data analytics course?

Yes, data analytics professionals are in high demand across various industries such as finance, healthcare, retail, and tech, among others.

Is this course available online?

Yes, Skillspark offers the Data Analytics course in Kerala both online and offline formats to cater to different learning preferences.

Do I need any prior knowledge to join?

While a basic understanding of numbers can be beneficial, our course is designed to accommodate beginners as well as those with prior experience.

Will I get certification upon course completion?

Absolutely! After successfully completing the course, you will receive a certification from Skillspark The Finishing School.

Are there any internship opportunities post-course?

Skillspark often has tie-ups with industry partners, and based on performance, students might get internship opportunities. However, specifics can vary.