Data Analytics & Business Analytics
The Data Analytics & Business Analytics course at Skill Share Technologies is designed to provide participants with the knowledge and practical skills required to analyze, interpret, and visualize data effectively. The program focuses on key techniques and industry-standard tools that help professionals extract meaningful insights from data, enabling smarter and more informed decision-making across business domains.
Learners will gain a strong foundation in the principles and practices of Data Analytics and Business Analytics, while also developing hands-on expertise through guided training sessions. With the flexibility to learn from expert trainers in live interactive classes (with or without video, as per preference), participants can choose the mode of learning that best suits their needs.
Programming & Analysis Tools: Python, Excel, Statistics
Data Handling: SQL, ETL, Data Cleaning, Data Analysis
Visualization & Reporting: Power BI, Tableau
Description
In this course, participants will develop a strong understanding of the fundamental concepts in Data Analytics and Business Analytics, including data exploration, statistical analysis, and data visualization. The program emphasizes practical application, enabling learners to work hands-on with real-world datasets to identify meaningful patterns, trends, and insights.
In addition, participants will be introduced to widely used analytics tools and programming languages, equipping them with the technical proficiency required to analyze data effectively and support informed decision-making across business environments.
Course Objectives
The primary objectives of this course are to:
Introduce Fundamental Concepts: Provide a strong foundation in Data Analytics and Business Analytics, covering data types, exploratory data analysis (EDA), and key statistical measures.
Enhance Data Exploration and Cleaning Skills: Equip participants with techniques to explore, clean, and prepare datasets, ensuring accuracy, consistency, and reliability.
Build Proficiency in Statistical Analysis: Develop an understanding of statistical methods and hypothesis testing for drawing valid inferences from data.
Strengthen Data Visualization Abilities: Teach principles of effective visualization and the use of modern tools to create clear, insightful, and engaging data presentations.
Familiarize with Industry Tools: Provide hands-on exposure to leading tools and technologies, including Python libraries (Pandas, NumPy) and visualization platforms (Tableau, Power BI).
Apply Knowledge to Real-World Scenarios: Enable learners to practice analytics techniques in practical business contexts, solving analytical problems and generating actionable insights.
Improve Interpretation and Communication Skills: Train participants to interpret analytical results accurately and communicate findings effectively to both technical and non-technical stakeholders.
Prerequisites
- A basic understanding of data and its significance in decision-making.
- Familiarity with spreadsheet applications such as Microsoft Excel or Google Sheets.
- Knowledge of fundamental statistical concepts including mean, median, and standard deviation.
- An understanding of data visualization principles for effective representation of information.
- Awareness of commonly used data analysis tools and software such as Tableau and Power BI.
- Prior experience in interpreting and presenting data in a clear and meaningful manner is advantageous.
Who Should Enroll?
Business Analysts – Professionals seeking to enhance their ability to analyze data and support strategic decision-making.
Data Enthusiasts – Beginners or individuals with prior exposure to data who wish to strengthen their analytical skills.
Students and Graduates – Learners pursuing studies in data-related fields or aiming to build a strong foundation in Data Analytics and Business Analytics for future career opportunities.
Managers and Executives – Decision-makers who want to understand and apply analytics to drive organizational growth and efficiency.
Researchers – Individuals aiming to leverage analytics in research projects to uncover insights and validate findings.
Aspiring Data Professionals – Anyone with an interest in exploring Data Analytics and Business Analytics to gain practical, industry-relevant skills for data-driven decision-making.
This program is designed to cater to both beginners and individuals with some prior experience, offering valuable skills and knowledge that can be applied across industries and domains.
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