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Join Numerology Astro Center Online Course Conducted By Live and Video & Voice Record Send to students on chapter ways For Astrology,Numerology,Palmistry, Feng shui, Nadi Astrology, Vastu shastra Face Reading Language of Teaching, English,Kannada, HIndi,Telugu Qualification.10th passed understand simple English and i have a knowledge of calculation What u need:Computer or laptop,Internet connection,mike and head phones Advantages:you can learn sitting at home,It is fully interactive course with question and answer and discuss of hundreds birth chart,chapter ways audio and video record will be send when ever u have doubt u can listen it so hurry up take complete benefit and enjoying the learning COURSE MATERIAL APPROACH As soon as your application form and payment is collected in bank, the first month's study material will be dispatched. Next month onwards study material are scheduled to be dispatched on the last day of the month. Thus, second month onwards students will receive study material on or after the first week. Master Chart Analysis This is a check off chart professionally designed for giving an easy, interesting, accurate and short analysis of your subject. Examples Study material contain examples that further illustrate the sequence of instructions. Calculations and formulae given in the examples provide clarity in each step and eradicate all misunderstandings or confusions. Project A real-life project is assigned to every student after the course is completed which student has to return back after solving. we will analyse and send a detailed report on your strong areas and areas you need to improve Report Writing for Consultation (Audit Reports) As we train our students to become leading consultants of tomorrow, we also train them on how to make professional and marketable reports for properties, people, etc. that they can confidently and proudly present to their clients. Real Life Examples of Famous people Examples of famous people and celebrities are also covered to give a real feel and connectivity with the subject. Exercise Books and Answers For better understanding of the textual matter, self-exercises are planned and placed with study material. Students can check their growth and understanding of the subject by solving these exercises. Answers are sent along with the next month's study material.

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odhee Academy was established in Pune in January . It's sole purpose is to make students aware of the career opportunities in the world of life sciences. Through our unique pedagogy, we strive to make the subjects of Life Sciences interesting and exciting. Through seminars, workshops and guest lectures, we encourage students to plan and carve out a career in the field of life sciences. We help students in choosing the right research area and provide guidance on research opportunities in universities in Europe and USA. People behind Bodhee Academy Dr. N. Vyas: N. Vyas is an MSc in Biomedical Sciences from Delhi University (ACBR) and has done his PhD in Immunology from Germany. He has been awarded CSIR Junior Research Fellowship by Council of Scientific and Industrial Research (CSIR), Govt. of India. He was selected through a nationwide exam National Eligibility Test (NET), jointly conducted by CSIR and UGC in with all India Rank 24th. He has received call for prestigious Shayama Prasad Mukerjee award three times which is given to top thirty Master’s students of India. He was awarded CSIR Catch them young Fellowship from Council of Scientific and Industrial Research (CSIR), Govt. of India in and . Brijesh Pandey: By qualification, he is an electronics engineer; by profession, he is a verbal aptitude trainer. He had consistently scored 99 plus percentile in the verbal section when CAT (Common Admission Test) was in the paper-pencil format. Apart from teaching verbal aptitude, he also designs questions on a variety of topics; most of the questions displayed on this website have been designed by him; being fond of movies, books and documentaries, he often suggests unique and interesting ways by which students can develop their knowledge about myriads of things. Rakesh Vishwakarma: An IT (Information Technology) engineer from NIT, Raipur and an MBA from Department of Pune University, Rakesh has been a quantitative aptitude trainer for the past 9 years and has worked with organizations such as PT and Career Launcher; he has the knack of teaching multiple concepts through just one question; many of the questions on this website have been designed by him; he has been getting 99 plus percentile in the CAT (Common Admission Test) for the past four years and has been getting calls from the prestigious IIMs. Apart from teaching quantitative aptitude, he is very fond of coding and programming.

BASE SAS MODULES Day 1: Introduction to the SAS System Components of Base SAS Software Output Produced by the SAS System Ways to Run SAS Programs Running Programs in the SAS Windowing Environment Introduction to DATA Step Processing The SAS Data Set introduction How the DATA Step Works: A Basic Introduction Supplying Information to Create a SAS Data Set Introduction to Raw Data Examine the Structure of the Raw Data: Factors to Consider Reading Unaligned Data Reading Data That Is Aligned in Columns Reading Data That Requires Special Instructions Reading Unaligned Data with More Flexibility Mixing Styles of Input Day 2: Introduction to Beyond the Basics with Raw Data Using INFILE statement and various options. Testing a Condition before Creating an Observation Creating Multiple Observations from a Single Record Reading Multiple Records to Create a Single Observation Problem Solving: When an Input Record Unexpectedly Does Not have enough values Day 3: Introduction to Starting with SAS Data Sets Understanding the Basics Input SAS Data Set for Examples Reading Selected Observations Reading Selected Variables Creating More Than One Data Set in a Single DATA Step Using the DROP=, KEEP= and WHERE= Data Set Options for Efficiency Introduction to DATA Step Processing Input SAS Data Set for Examples Adding Information to a SAS Data Set Defining Enough Storage Space for Variables Conditionally Deleting an Observation Day 4: Introduction to Working with Numeric Variables About Numeric Variables in SAS Input SAS Data Set for Examples Calculating with Numeric Variables Comparing Numeric Variables Storing Numeric Variables Efficiently Numeric Functions. Day 5: Introduction to Working with Character Variables Input SAS Data Set for Examples Identifying Character Variables and Expressing Character Values Handling Missing Values Creating New Character Values Saving Storage Space by Treating Numbers as Characters Character Functions Day 6: Introduction to Acting on Selected Observations Input SAS Data Set for Examples Selecting Observations Constructing Conditions Comparing Characters Introduction to Creating Subsets of Observations Input SAS Data Set for Examples Selecting Observations for a New SAS Data Set Conditionally Writing Observations to One or More SAS Data Sets Day 7: Introduction to Working with Grouped or Sorted Observations Input SAS Data Set for Examples Working with Grouped Data Working with Sorted Data Introduction to Using More Than One Observation in a Calculation Input File and SAS Data Set for Examples Accumulating a Total for an Entire Data Set Obtaining a Total for Each BY Group Writing to Separate Data Sets Using a Value in a Later Observation Day 8: Introduction to Using More Than One Observation in a Calculation Input File and SAS Data Set for Examples Accumulating a Total for an Entire Data Set Obtaining a Total for Each BY Group Writing to Separate Data Sets Using a Value in a Later Observation Introduction to Working with Dates Understanding How SAS Handles Dates Input File and SAS Data Set for Examples Entering Dates Displaying Dates Using Dates in Calculations Using SAS Date Functions Comparing Durations and SAS Date Values Day 9: Introduction to Combining SAS Data Sets Definition of Concatenating Definition of Interleaving Definition of Merging Definition of Updating Definition of Modifying 237 Comparing Modifying, Merging, and Updating Data Sets Day 10: Introduction to Concatenating SAS Data Sets Concatenating Data Sets with the SET Statement Concatenating Data Sets Using the APPEND Procedure Choosing between the SET Statement and the APPEND Procedure. Introduction to Interleaving SAS Data Sets Understanding BY-Group Processing Concepts Interleaving Data Sets Day 11: Introduction to Merging SAS Data Sets Understanding the MERGE Statement One-to-One Merging Match-Merging Choosing between One-to-One Merging and Match-Merging Introduction to Updating SAS Data Sets Understanding the UPDATE Statement Understanding How to Select BY Variables Updating a Data Set Updating with Incremental Values Understanding the Differences between Updating and Merging Handling Missing Values Day 12: Input SAS Data Set for Examples Modifying a SAS Data Set: The Simplest Case Modifying a Master Data Set with Observations from a Transaction Data Set Understanding How Duplicate BY Variables Affect File Update Handling Missing Values Introduction to Conditional Processing from Multiple SAS Data Sets Input SAS Data Sets for Examples Determining Which Data Set Contributed the Observation Combining Selected Observations from Multiple Data Sets Performing a Calculation Based on the Last Observation Day 13: Introduction to Analysing Your SAS Session with the SAS Log Understanding the SAS Log Locating the SAS Log Understanding the Log Structure Writing to the SAS Log Suppressing Information to the SAS Log Changing the Log’s Appearance Introduction to Directing SAS Output and the SAS Log Input File and SAS Data Set for Examples Routing the Output and the SAS Log with PROC PRINTTO Storing the Output and the SAS Log in the SAS Windowing Environment Redefining the Default Destination in a Batch or Non interactive Environment Introduction to Diagnosing and Avoiding Errors Understanding How the SAS Supervisor Checks a Job Understanding How SAS Processes Errors Distinguishing Types of Errors Diagnosing Errors Using a Quality Control Checklist Day 14: Introduction to Creating Detail and Summary Reports with the REPORT Procedure Understanding How to Construct a Report Input File and SAS Data Set for Examples Creating Simple Reports Creating More Sophisticated Reports Day 15: Introduction to Proc means Deriving descriptive statistics Introduction to Proc univariate and various options Day 16: Introduction to Proc freq Calculating counts using Freq Outputting the counts into a dataset Proc Transpose introduction Using VAR, ID and BY statement efficiently in transpose Reshaping the data with required variables Day 17: Introduction to Producing Charts to Summarize Variables Understanding the Charting Tools Input File and SAS Data Set for Examples Charting Frequencies with the CHART Procedure Customizing Frequency Charts Creating High-Resolution Histograms Day 18: Introduction to Writing Lines to the SAS Log or to an Output File Understanding the PUT Statement Writing Output without Creating a Data Set Writing Simple Text Introduction to the Basics of Understanding and Customizing SAS Output Understanding Output Input SAS Data Set for Examples Locating Procedure Output Making Output Informative Controlling Output Appearance Controlling the Appearance of Pages Representing Missing Values Day 19: Introduction to Customizing SAS Output by Using the Output Delivery System Input Data Set for Examples Understanding ODS Output Formats and Destinations Selecting an Output Format Creating Formatted Output Day 20: Proc Format introduction Creating format catalogue Converting catalogue to dataset Storing formats permanently and finding out formats in a library Accessing a Permanent SAS Data Set with User-Defined Formats ADVANCED SAS MODULES Day 21: Getting Started with the Macro Facility Replacing Text Strings Using Macro Variables Generating SAS Code Using Macros More Advanced Macro Techniques Other Features of the Macro Language Introduction to SAS Programs and Macro Processing How SAS Processes Statements without Macro Activity How SAS Processes Statements with Macro Activity Introduction to Macro Variables Macro Variables Defined by SAS Macro Variables Defined by Users Using Macro Variables Displaying Macro Variable Values Referencing Macro Variables Indirectly Manipulating Macro Variable Values with Macro Functions Introduction to Macro Processing Defining and Calling Macros How the Macro Processor Compiles a Macro Definition How the Macro Processor Executes a Compiled Macro Summary of Macro Processing Day 22: Introduction to the Scopes of Macro Variables Global Macro Variables Local Macro Variables Writing the Contents of Symbol Tables to the SAS Log How Macro Variables Are Assigned and Resolved Introduction to Macro Expressions Defining Arithmetic and Logical Expressions How the Macro Processor Evaluates Arithmetic Expressions Day 23: Introduction to Macro Quoting Deciding When to Use a Macro Quoting Function and Which Function to Use Using Various Macro Functions %STR and %NRSTR Functions etc Using the %BQUOTE and %NRBQUOTE Functions Referring to Already Quoted Variables Deciding How Much Text to Mask with a Macro Quoting Function Using %SUPERQ Summary of Macro Quoting Functions and the Characters They Mask Unquoting Text How Macro Quoting Works Other Functions That Perform Macro Quoting Day 24: Introduction to Storing and Reusing Macros Saving Macros in an Auto call Library Saving Macros Using the Stored Compiled Macro Facility General Macro Debugging Information Troubleshooting Your Macros Debugging Techniques Introduction to Writing Efficient and Portable Macros Keeping Efficiency in Perspective Writing Efficient Macros Writing Portable Macros PROJECT CONTENT COVERED Day Creation of Efficacy tables. Creation of Standard and safety tables. Day 28 Creation of listings Day Creation of Graphs a)Bar Charts b)Scatter plot c)Line plot d)Box plot Day 31 Creation of Analysis datasets/derived datasets Day 32 Introduction to SDTM CRF Annotation (ONLY BASICS) Introduction to mapping specification (ONLY BASICS) Introduction to SDTM dataset Creation (ONLY BASICS) Validation in Open CDISC (ONLY BASICS) Day 33 Introduction to ADAM Standards (ONLY BASICS) Mock interview and providing assistance for interview preparation Contact:

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The aim of this book are two-fold: (1) to evaluate the current progress of theoretical approaches to tourism marketing and (2) to show the ways to further develop the concept of tourism marketing for application within tourist destinations and individual businesses and evaluate its potential impact on performance improvement. The structure is based upon the inclusion of an introduction and four main parts, namely IT marketing, destination competitiveness, image measurement, and consumer behaviour. There is a brief introduction for each part prior to the discussion of specific chapters just to make the readers familiar with their content. The editors believe that there is a need for information on how to better apply both traditional and contemporary marketing tools in order to be more competitive within the international arena. Metin Kozak serves as an Associate Professor of Marketing in the School of Tourism and Hotel Management, Mugla University, Turkey. Also, he is a visiting fellow in the Department of Marketing, University of Namur, Belgium. Following a successful career within the last five years (since the approval of PhD degree in 2000), Metin has received two awards to mark his achievements. In 2001, his PhD dissertation on benchmarking was nominated, by the EFQM- EU, among the best three PhD studies on TQM. In 2004, by a committee of the Turkish Tourism Investors’ Association, he was awarded the grand prize of the tourism researcher of the year 2003 in Turkey. He has published mainly in tourism journals and authored a book on Destination Benchmarking. His main research interests focus on consumer behavior, benchmarking, competitiveness, cross-cultural research, destination management and marketing, and European tourist markets. Luisa Andreu is Assistant Professor of Marketing in the Department of Marketing, University of Valencia, Spain. She obtained her Master's degree in Tourism from the International Centre for Tourism, Bournemouth University, UK, and a Ph.D. in Business Administration from the University of Valencia, Spain. She is a member of the Spanish Association of Scientifics in Tourism. She has published various articles in Annals of Tourism Research, Tourism Management, European Journal of Marketing, Journal of Travel and Tourism Marketing, among others. She has presented papers at several conferences organized by the European Marketing Academy, Academy of Marketing Science, CPTHL, and State of the Art: Tourism. She has also involved in numerous academic and industrial projects. Her research interests include consumer behavior and cross-cultural issues in service marketing.

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