Data Analytics

Data Analytics Training Institute in Kerala

Enroll at Skillspark, the leading Data Analytics training institute in Kerala, and master data analysis, visualization, and predictive modeling. Learn industry-relevant tools like Python, SQL, and Power BI 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 Courses courses

Why should you choose this course at Skillspark?

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.

Course Benefits

Key Takeaways:

High Demand for Excel Skills – Excel is widely used across industries, making it a crucial skill for professionals.
Boost Productivity & Efficiency – Automate manual tasks with VBA and formulas.
Enhance Data-Driven Decision-Making – Learn business intelligence techniques with Excel.
Career Advancement Opportunities – Excel expertise improves job prospects and salary potential.
Hands-On Learning & Certification – Work on real-world projects and receive an industry-recognized certification.

Course Modules

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

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

Google Forms

Module 1: Building Forms

Building a form. | Adding a title to the form. | Adding multiple-choice questions. | Adding paragraph questions. | Adding short-answer questions.

Module 2: Customization

Adding a title and description. | Adding collaborators. | Customizing the theme. | Reviewing responses.

Module 3: Advanced Features

Exploring advanced features in Google Forms.

Module 4: Projects

Feedback Form for a Workshop (Project 1):
Create a Google Form to collect feedback from participants after attending a workshop or class.

Google Sheets

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.

Professional Dashboard Creation

Module 1: Advanced Excel Techniques for Dashboards

Purpose and benefits of dashboards in business. | Key principles of effective dashboard design. | Structuring raw data for analysis. | Using tables and named ranges. | Data validation and error checking.

Module 2: Dashboard Projects

Project 1: 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.

Project 2: Financial Analytics Dashboard
Importing financial statements and transaction data. | Profit and loss computations. | Cash flow analysis. | Revenue and expense visualizations. | Break-even analysis charts. | Scenario analysis using what-if parameters.

Project 3: HR Management Dashboard
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.

Project 4: Inventory Management Dashboard
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.

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?

This course is suitable for,

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.