Data is the new frontier of 21st century. According to a Harvard Business Report (2012) data science is going to be the hottest job of 21st century and data analysts have a very bright career ahead. This course aims to equip learners with ability of independently carrying out in-depth data analysis with professional confidence and accuracy. It will specifically help those looking to derive business insights, understand consumer behaviour, develop objective plans for new ventures, brand study, or write a scholarly articles in high impact journals and develop high quality thesis/project work.
A good knowledge of quantitative data analysis is a sine qua none for progress in academic and corporate world. Keeping this in mind this course has been designed in such way that students, researchers, teachers and corporate professionals who want to equip themselves with sound skills of data analysis and wish to progress with this skill can learn it in in-depth and interesting manner using IBM SPSS Statistics.
Benefits of the course
- Analyse any type of numerical data using SPSS with confidence
- Independently plan your research study from scratch.
- Understand the research design and results presented in high quality journal articles
- Do data analysis accurately and present the results in standard format.
Topics for this course
How to get answer to your queries fast?00:00
Downloading and Installing SPSS
Downloading SPSS Grad Pack: Student Version00:00
Conceptual Foundation and Statistics
Statistics: Definition and Types00:00
Parametric vs Non-Parametric Statistics: Assumptions00:00
Data Entry: Learning to enter Data in SPSS
Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables00:00
Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables00:00
Variable Type: Comma & Dot00:00
Variable Type: Scientific Notation00:00
Variable Type: Date and Time Stamps00:00
Variable Type: Dollar00:00
Variable Type: Custom Currency00:00
Variable Type: String00:00
Variable Type: Restricted Numeric00:00
Defining Values & Labels00:00
Defining Missing Values: Discrete, Range & System-Missing Values00:00
Setting Columns & Alignment00:00
Defining Measures: Scales of Measurement00:00
Working with Varioud File Types in SPSS
Types of Data Files in SPSS Statistics00:00
Opening an Excel data file in SPSS00:00
Opening a Comma Separated or CSV file type in SPSS00:00
Data Transformation in SPSS
Dataset and Resources: RECODE Function00:00
Calculating Total using COMPUTE function00:00
Exercise: Try COMPUTE using IF00:00
Exercise Solution: COMPUTE using IF00:00
RECODE FUNCTION: Why to Recode Variable?00:00
Why We have Two RECODE Functions?00:00
How to do RECODE INTO DIFFERENT VARIABLE in SPSS?00:00
COMPUTING Total After RECODE00:00
Recode into Same Variable00:00
- The course is built from scratch so no prior knowledge of SPSS or Statistics is required.
- We cover all the required details in the course both theory and practical part.
- The learners must have a copy of SPSS software to practise the steps taught in this course.
- Working Professionals
- 20+ hours on-demand video
- 14 articles
- 40 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion