Data Science Using SPSS
Sambodhi and Education Nest offers a certificate course for SPSS programming that provides participants with the necessary skills to perform data analytics using SPSS. Education Nest’s SPSS training program equips participants with in-depth knowledge of essential concepts related to data analysis and statistics using SPSS. The training offers practical exposure to real-world scenarios, which enables learners to gain hands-on experience and insights into data analysis. Upon completing the program, learners will have gained expertise in SPSS programming and data analysis and prepared to clear the SPSS certification exam on their first attempt.
Application Deadline: May 31st, 2023
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Sambodhi and Education Nest provides a comprehensive SPSS programming certificate course that equips participants with the essential skills to perform data analytics. The course offers in-depth knowledge of data analysis and statistics using SPSS, along with practical exposure to real-world scenarios. Through this training, learners can gain hands-on experience and insights into data analysis. Upon completion of the program, learners will be well-versed in SPSS programming and data analysis, making them ready to clear the SPSS certification exam on their first attempt.
- 60 days of free Cloud Lab access worth ₹4000
- Live Online Classes starting on 15th Apr 2023
4.5
Instructor-led Data Science Using SPSS live online Training Schedule
May 15th – Weekend
SAT & SUN (5 Weeks) 08:30 PM to 11:30 PM (IST)
July 1st – Weekend
SAT & SUN (5 Weeks) 11:00 AM to 01:00 PM (IST)
Why enroll for Data Science Using SPSS Certificate Training Course?
The Bureau of Labor Statistics (BLS) projects an 11% growth in employment for computer and information research scientists, including SPSS programmers, from 2021 to 2031.
SPSS programmers are highly sought after in industries such as healthcare, finance, market research, social sciences, and government that rely on statistical software.
According to Payscale, the average salary for an SPSS programmer in the United States is around $64,000 per year. The salary range can be between $44,000 and $97,000 per year.
Data Science Using SPSS Training Course Benefits
SPSS is a versatile software program that can be used for analyzing both qualitative and quantitative data. While it’s true that the 85% of research scholars carry quantitative data for analysis, SPSS provides equal importance to both types of data. This means that SPSS is just as useful for analyzing qualitative data as it is for analyzing quantitative data. Although there are many other software programs available for analyzing quantitative data, SPSS remains a popular choice due to its user-friendly interface and ease of use. Education Nest offers a comprehensive SPSS Programming training course, designed to teach learners the foundational concepts from scratch and equip them with the tools necessary to launch their career in this field.
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Why Data Science Using SPSS Certificate Training Course from Education Nest
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
- 1 Year subscription to LMS
Industry Recognised Certification
- Sambodhi & Education Nest Training Certificate
- Graded Performance Certificate
- Certificate of Completion
Scholarship And Fees
- Upto 50% Scholarship
- Availability of EMI payment
- International Payment options
Data Science Using SPSS Skills Covered
- IBM SPSS Statistics
- SPSS Software Navigation
- Data Management
- Descriptive Statistics
- Data Visualization
- Advanced Statistical Analysis
- Programming and Syntax
- Reporting and Interpretation
Data Science Using SPSS Training Course Syllabus
- Introduction to IBM SPSS Statistics
- Introduction to Research Methodology
- Data Analysis with SPSS
- Downloading and Installing IBM SPSS software
- Registration of software
- About SPSS Software
- Import Data in SPSS
- Data View, Variable View
- Width, Label, Values, Decimals, Measure
- Data Transformation
- Output Management
- Charting with SPSS
- Basic of charts
- Modern Charting Techniques
- Customization of Charts
- Means
- T-test
- Normality tests
- Non parametric tests
- Shapiro-Wilk, Kolmogorov Smirnov tests,
- Normality check through Histogram, Skewness and Kurtosis.
- Descriptive Analysis
- Independent Sample t-test and Paired Sample t test.
- Chi-square test for testing association between attributes
- ANOVA, multiple comparisons
- Factorial ANOVA, F-Statistics and p-values
- Read Correlation Table
- Correlational Analysis
- Correlation Coefficient
- Non-Parametric Correlation (Kendall’s Tau)
- Parametric Correlation
- Special Correlation
- Partial and Distance Correlation
- Simple Linear Regression
- Model Fit
- Multiple Regression
- Hierarchical Regression Analysis
- The Method of Least Squares
- Linear Modelling
- Multiple Regression
- R Square, Adjusted R Square,
- Autocorrelation and Durbin Watson Statistics
- Clustering with SPSS
- Formatting and Visualisation of Cluster Result
- K-Means Clustering and Hierarchical Clustering
- Combining the Clusters
- Cluster Membership
- Parametric Analysis
- Non-parametric Analysis
- Exporting chart and Tables
- Web reports
- Introduction to IBM SPSS Statistics
- Introduction to Research Methodology
- Data Analysis with SPSS
- Downloading and Installing IBM SPSS software
- Registration of software
- About SPSS Software
- Import Data in SPSS
- Data View, Variable View
- Width, Label, Values, Decimals, Measure
- Data Transformation
- Output Management
- Charting with SPSS
- Basic of charts
- Modern Charting Techniques
- Customization of Charts
- Means
- T-test
- Normality tests
- Non parametric tests
- Shapiro-Wilk, Kolmogorov Smirnov tests,
- Normality check through Histogram, Skewness and Kurtosis.
- Descriptive Analysis
- Independent Sample t-test and Paired Sample t test.
- Chi-square test for testing association between attributes
- ANOVA, multiple comparisons
- Factorial ANOVA, F-Statistics and p-values
- Read Correlation Table
- Correlational Analysis
- Correlation Coefficient
- Non-Parametric Correlation (Kendall’s Tau)
- Parametric Correlation
- Special Correlation
- Partial and Distance Correlation
- Simple Linear Regression
- Model Fit
- Multiple Regression
- Hierarchical Regression Analysis
- The Method of Least Squares
- Linear Modelling
- Multiple Regression
- R Square, Adjusted R Square,
- Autocorrelation and Durbin Watson Statistics
- Clustering with SPSS
- Formatting and Visualisation of Cluster Result
- K-Means Clustering and Hierarchical Clustering
- Combining the Clusters
- Cluster Membership
- Parametric Analysis
- Non-parametric Analysis
- Exporting chart and Tables
- Web reports
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Why Enroll for “Data Science Using SPSS”
- Duration: 40 hours
- Level of effort: 4 hours per day
- Modality: Online with live classroom sessions and groups assignments
- Limited & partial scholarships available for candidates based on merit
- Discounts on course fees in case of institutional sponsorship, group enrolments, and for participants from grassroots organisations
- Training by corporate professionals and experts with 10+ years of experience in Data Science with Python training industry
- Language: English
- Requirements: access to laptop and internet
- Industry-relevant curriculum designed by industry experts
- 40 hours of instructor-led live virtual training on weekends
- 1-year subscription to enterprise-grade Learning Management System (LMS)
- Globally accredited recognition for students
- Availability of scholarships and EMI payment options
- Training on weekends to cater to working professionals
- Last date for application: 31st May
- Commence date: TBA
- Duration: 40 hours
- Level of effort: 4 hours per day
- Modality: Online with live classroom sessions and groups assignments
- Limited & partial scholarships available for candidates based on merit
- Discounts on course fees in case of institutional sponsorship, group enrolments, and for participants from grassroots organisations
- Training by corporate professionals and experts with 10+ years of experience in Data Science with Python training industry
- Language: English
- Requirements: access to laptop and internet
- Industry-relevant curriculum designed by industry experts
- 40 hours of instructor-led live virtual training on weekends
- 1-year subscription to enterprise-grade Learning Management System (LMS)
- Globally accredited recognition for students
- Availability of scholarships and EMI payment options
- Training on weekends to cater to working professionals
- Last date for application: 31st May
- Commence date: TBA
Data Science Using SPSS Training Projects
Industry : IT
Data Science using SPSS finds significant application in the IT industry. With a vast amount of data being generated daily, IT firms require professionals with SPSS skills to extract valuable insights from this data. SPSS is used in IT for various purposes such as data cleansing, data mining, predictive modeling, and statistical analysis. One of the significant projects in IT where SPSS is used is in the identification of potential cybersecurity threats. Using SPSS, IT professionals can identify patterns and anomalies in the system that could indicate a possible security breach. Additionally, SPSS can be used to forecast network traffic and optimize network performance, ensuring a smooth flow of data within the organization.
Industry : Retail
In the retail industry, data analysis is crucial for making informed decisions related to inventory management, sales forecasting, and customer behavior. With the help of SPSS, retail businesses can leverage data to gain insights into customer preferences, purchase patterns, and trends. By analyzing this data, retailers can optimize their marketing strategies, improve customer engagement, and increase sales. SPSS can also be used to analyze supply chain data, helping retailers to identify and resolve bottlenecks in their inventory management and streamline their operations. Overall, the use of SPSS in the retail industry can help businesses make data-driven decisions and gain a competitive edge in the market.
Data Science Using SPSS Training Description
Data Science Using SPSS training course offered by Sambodhi and Education Nest is designed to equip learners with the essential skills and knowledge to analyze data using SPSS software. SPSS is a widely-used statistical analysis software tool that can help organizations to make informed decisions by processing and analyzing data. This course covers topics such as data cleaning and preparation, exploratory data analysis, hypothesis testing, regression analysis, and more. Learners will gain hands-on experience with SPSS and learn how to create and interpret statistical models. This course is ideal for anyone who wants to start a career in data analysis or wants to enhance their data analysis skills.
The objectives of the Data Science Using SPSS course are:
- To provide an in-depth understanding of the essential concepts and theories related to data analysis and statistics using SPSS
- To equip participants with the skills and knowledge required to perform data analytics using SPSS, including data cleaning, data exploration, and data visualization
- To provide hands-on training in the use of SPSS for statistical analysis, modeling, and prediction
- To teach participants how to interpret and present data analysis results effectively
- To prepare participants for the SPSS certification exam and develop the skills necessary to succeed as a data analyst or researcher.
Here are some reasons why learning the Data Science Using SPSS course can be beneficial:
- SPSS is a widely used statistical software package in the industry, and having skills in SPSS programming can make you a valuable asset in various industries.
- The course equips you with the necessary skills to perform data analysis and research, which are in high demand in fields such as healthcare, finance, marketing, and social sciences.
- The practical exposure to real-world scenarios offered by the course enables learners to gain hands-on experience and insights into data analysis, which can be useful for career advancement.
- Upon completing the program, learners will have gained expertise in SPSS programming and data analysis and will be prepared to clear the SPSS certification exam, which can open up new job opportunities and increase earning potential.
The Data Science Using SPSS course is suitable for individuals who want to enhance their knowledge and skills in data analysis using SPSS. This course is ideal for:
- PhD students
- Social Science researchers
- Healthcare Professionals
- Researchers
- Engineers
- Data Professionals
The pre-requisites for the Data Science with Python course may vary depending on the specific program and level of difficulty, but generally include:
- Basic knowledge of programming concepts such as variables, loops, and functions
- Understanding of basic statistical concepts such as mean, median, and standard deviation
- Familiarity with basic linear algebra concepts such as matrices and vectors
- Prior experience with programming languages such as Python, Java, or C++ may be beneficial, but is not always required.
Other Courses offered by Sambodhi and Education Nest for Data Science is:
- Python – Python is a high-level programming language with dynamic semantics and clean syntax, used for various applications.
- SAS – It is a statistical software suite widely used for data management, business intelligence, and predictive analytics.
- MATLAB – It is a programming language used for numerical computing, data analysis, and machine learning.
- Apache Spark – It is an open-source distributed computing system used for big data processing and machine learning.
- Tableau – It is a data visualization tool used for creating interactive dashboards and visualizations.
- Excel – It is a popular spreadsheet program that can be used for basic data analysis and visualization.
Each of this software has its own unique features and strengths, and the choice of software depends on the specific needs and requirements of the project.
Data Science Using SPSS training course offered by Sambodhi and Education Nest is designed to equip learners with the essential skills and knowledge to analyze data using SPSS software. SPSS is a widely-used statistical analysis software tool that can help organizations to make informed decisions by processing and analyzing data. This course covers topics such as data cleaning and preparation, exploratory data analysis, hypothesis testing, regression analysis, and more. Learners will gain hands-on experience with SPSS and learn how to create and interpret statistical models. This course is ideal for anyone who wants to start a career in data analysis or wants to enhance their data analysis skills.
The objectives of the Data Science Using SPSS course are:
- To provide an in-depth understanding of the essential concepts and theories related to data analysis and statistics using SPSS
- To equip participants with the skills and knowledge required to perform data analytics using SPSS, including data cleaning, data exploration, and data visualization
- To provide hands-on training in the use of SPSS for statistical analysis, modeling, and prediction
- To teach participants how to interpret and present data analysis results effectively
- To prepare participants for the SPSS certification exam and develop the skills necessary to succeed as a data analyst or researcher.
Here are some reasons why learning the Data Science Using SPSS course can be beneficial:
- SPSS is a widely used statistical software package in the industry, and having skills in SPSS programming can make you a valuable asset in various industries.
- The course equips you with the necessary skills to perform data analysis and research, which are in high demand in fields such as healthcare, finance, marketing, and social sciences.
- The practical exposure to real-world scenarios offered by the course enables learners to gain hands-on experience and insights into data analysis, which can be useful for career advancement.
- Upon completing the program, learners will have gained expertise in SPSS programming and data analysis and will be prepared to clear the SPSS certification exam, which can open up new job opportunities and increase earning potential.
The Data Science Using SPSS course is suitable for individuals who want to enhance their knowledge and skills in data analysis using SPSS. This course is ideal for:
- PhD students
- Social Science researchers
- Healthcare Professionals
- Researchers
- Engineers
- Data Professionals
The pre-requisites for the Data Science with Python course may vary depending on the specific program and level of difficulty, but generally include:
- Basic knowledge of programming concepts such as variables, loops, and functions
- Understanding of basic statistical concepts such as mean, median, and standard deviation
- Familiarity with basic linear algebra concepts such as matrices and vectors
- Prior experience with programming languages such as Python, Java, or C++ may be beneficial, but is not always required.
Other Courses offered by Sambodhi and Education Nest for Data Science is:
- Python – Python is a high-level programming language with dynamic semantics and clean syntax, used for various applications.
- SAS – It is a statistical software suite widely used for data management, business intelligence, and predictive analytics.
- MATLAB – It is a programming language used for numerical computing, data analysis, and machine learning.
- Apache Spark – It is an open-source distributed computing system used for big data processing and machine learning.
- Tableau – It is a data visualization tool used for creating interactive dashboards and visualizations.
- Excel – It is a popular spreadsheet program that can be used for basic data analysis and visualization.
Each of this software has its own unique features and strengths, and the choice of software depends on the specific needs and requirements of the project.
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Data Science Using SPSS Training FAQs
If you miss an online Data Science Using SPSS class, it’s important to reach out to the instructor or the support team of the online training platform you are using. They may be able to provide you with a recording or transcript of the missed class, so that you can catch up on what you missed. Alternatively, some platforms offer on-demand access to class materials, so you can go back and review the content on your own time. It’s always a good idea to try and make up the missed material as soon as possible, so that you don’t fall behind in your learning.
If you have queries after completing an online Data Science Using SPSS course, Education Nest training platforms offer some form of post-course support. This may include access to a dedicated support team, a community forum where you can ask questions and connect with other learners, or even one-on-one sessions with an instructor or coach. If you have specific questions or concerns related to the course material, you can reach out to the instructor directly or use the support channels provided by the platform. It’s always a good idea to clarify any doubts or questions you may have, as this will help to solidify your understanding of the material and ensure that you can apply what you’ve learned in a real-world context.
Data Science Using SPSS is a course that teaches participants how to perform data analysis using IBM SPSS software. SPSS stands for Statistical Package for the Social Sciences and is a widely used tool for data analysis, statistical modeling, and predictive analytics. The course covers the basic and advanced features of SPSS, including data management, hypothesis testing, regression analysis, and data visualization. The aim of the course is to provide participants with a comprehensive understanding of SPSS and its applications in data science.
Once you enrol in a Data Science Using SPSS Training course, you will typically have access to the course material for as long as the course remains available on the platform. This means that you can revisit the material at any time, even after you have completed the course, and continue to learn and improve your skills.
The benefit of lifetime access to the learning material is that it allows you to learn at your own pace and on your own schedule. You can review the content as many times as you need to fully understand the concepts and techniques covered in the course. Additionally, if you encounter a new challenge in your work or personal life, you can go back to the course material to find solutions and strategies to help you overcome the challenge.
Having access to course material for a lifetime is a valuable benefit, as it allows you to continue to improve your skills and knowledge long after you have completed the course. So, if you are interested in improving your SPSS skills and want the flexibility to learn at your own pace, consider enrolling in an Data Science Using SPSS Training course that offers lifetime access to the learning material.
Once you enrol in a Data Science With R Programming Training course, you will typically have access to the course material for as long as the course remains available on the platform. This means that you can revisit the material at any time, even after you have completed the course, and continue to learn and improve your skills.
The benefit of lifetime access to the learning material is that it allows you to learn at your own pace and on your own schedule. You can review the content as many times as you need to fully understand the concepts and techniques covered in the course. Additionally, if you encounter a new challenge in your work or personal life, you can go back to the course material to find solutions and strategies to help you overcome the challenge.
Having access to course material for a lifetime is a valuable benefit, as it allows you to continue to improve your skills and knowledge long after you have completed the course. So, if you are interested in improving your R Programming skills and want the flexibility to learn at your own pace, consider enrolling in an Data Science With R Programming Training course that offers lifetime access to the learning material.
If you miss an online Data Science Using SPSS class, it’s important to reach out to the instructor or the support team of the online training platform you are using. They may be able to provide you with a recording or transcript of the missed class, so that you can catch up on what you missed. Alternatively, some platforms offer on-demand access to class materials, so you can go back and review the content on your own time. It’s always a good idea to try and make up the missed material as soon as possible, so that you don’t fall behind in your learning.
If you have queries after completing an online Data Science Using SPSS course, Education Nest training platforms offer some form of post-course support. This may include access to a dedicated support team, a community forum where you can ask questions and connect with other learners, or even one-on-one sessions with an instructor or coach. If you have specific questions or concerns related to the course material, you can reach out to the instructor directly or use the support channels provided by the platform. It’s always a good idea to clarify any doubts or questions you may have, as this will help to solidify your understanding of the material and ensure that you can apply what you’ve learned in a real-world context.
Data Science Using SPSS is a course that teaches participants how to perform data analysis using IBM SPSS software. SPSS stands for Statistical Package for the Social Sciences and is a widely used tool for data analysis, statistical modeling, and predictive analytics. The course covers the basic and advanced features of SPSS, including data management, hypothesis testing, regression analysis, and data visualization. The aim of the course is to provide participants with a comprehensive understanding of SPSS and its applications in data science.
Once you enrol in a Data Science Using SPSS Training course, you will typically have access to the course material for as long as the course remains available on the platform. This means that you can revisit the material at any time, even after you have completed the course, and continue to learn and improve your skills.
The benefit of lifetime access to the learning material is that it allows you to learn at your own pace and on your own schedule. You can review the content as many times as you need to fully understand the concepts and techniques covered in the course. Additionally, if you encounter a new challenge in your work or personal life, you can go back to the course material to find solutions and strategies to help you overcome the challenge.
Having access to course material for a lifetime is a valuable benefit, as it allows you to continue to improve your skills and knowledge long after you have completed the course. So, if you are interested in improving your SPSS skills and want the flexibility to learn at your own pace, consider enrolling in an Data Science Using SPSS Training course that offers lifetime access to the learning material.
Once you enrol in a Data Science With R Programming Training course, you will typically have access to the course material for as long as the course remains available on the platform. This means that you can revisit the material at any time, even after you have completed the course, and continue to learn and improve your skills.
The benefit of lifetime access to the learning material is that it allows you to learn at your own pace and on your own schedule. You can review the content as many times as you need to fully understand the concepts and techniques covered in the course. Additionally, if you encounter a new challenge in your work or personal life, you can go back to the course material to find solutions and strategies to help you overcome the challenge.
Having access to course material for a lifetime is a valuable benefit, as it allows you to continue to improve your skills and knowledge long after you have completed the course. So, if you are interested in improving your R Programming skills and want the flexibility to learn at your own pace, consider enrolling in an Data Science With R Programming Training course that offers lifetime access to the learning material.
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