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Data Analytics Trainning in Mohali & Chandigarh

Data Analytics training in Mohali and Chandigarh is offered by several reputed institutes like Oops Info Solutions, Certiwise, CBitss, and 360DigiTMG. These courses cover key tools like Python, SQL, Excel, Power BI, Tableau, and Machine Learning, with a focus on hands-on projects and job placement support. Most programs range from 2 to 6 months, with both online and offline options available. Free demo classes, certifications, and flexible timing make them suitable for students and working professionals alike.

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Data Analytics Trainning in Mohali & Chandigarh

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  1. Data Analytics Training in Mohali & Chandigarh P R E S E N T E D B Y : H A R S H I T A www.certiwise.in

  2. Introduction Data Analytics is the process of examining,organizing,and interpreting data to cover useful information,patterns,and trends that can support decision-making and problem solving.

  3. Key Steps 2.Data Analysis 1.Data Collection 3.Data Cleaning Databases Websites Surveys Sensors Social Media Apply statistical models Find trends and patterns Identify correlations and insights Missing values Duplicates Errors

  4. Problems of Data Analytics Poor Data Quality Skills Gaps Data Overload A Skills Gaps means there is a shortage of trained people who can properly collect,clean,analyze,and interpret data using modern tools and methods. It means the data is inaccurate,incompelete,in consistent,duplicated,or outdated,whichj affects the reliability of the analysis. Data Overload happens when a business collects too much data from various sources more than they can process,manage,or analyze effectively.

  5. Methodology The process starts by clearly identifying the research questions or business problems.A well-defined goal ensures the analysis stays focused and relevant. The collected data is cleaned by removing errors,duplicates,and missing values.It is them organize and formatted to make it suitable for analysis. Insights are presented through charts,graphs,dashboards,or reports to make the results easy to understand for decision-making. Based on the findings,recommendations are made to guide actions,improve proceses,or support future research.

  6. Analysis Analysis of data in data analytics involves examining and interpreting data to find useful patterns,trends,insights.It helps businesses and researchers make better decisions by turning raw data into meaingful information.Using tools like Excel,Python,or Power BI,analysts can understand past events,predict future outcomes and recommend actions based on the data.

  7. Process The data analytics process includes collecting data,cleaning and organizing it,analyzing it to find patterns,and them interpreting and presenting the results.This helps in making informed and effective decisions.

  8. Result Data analytics helps businesses make informed decisions by uncovering patterns and trends in data. It improves efficiency, reduces costs, enhances customer experience, and supports risk management. Overall, it gives organizations a competitive edge and helps them predict future outcomes.

  9. Conclusion Data analytics is a powerful tool that transforms raw data into meaningful insights, enabling smarter decisions and strategic growth. It plays a crucial role in improving efficiency, enhancing customer satisfaction, reducing risks, and driving innovation. As data continues to grow in importance, mastering analytics becomes essential for individuals and organizations aiming to stay competitive in the modern digital world.

  10. Thank You PRESENTED BY : HARSHITA

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