Academic, Research & Professional Skills Books
Download academic books, research guides, and professional skills textbooks in Kenya as affordable PDF ebooks at just Ksh 100 each. Our academic library covers research methodology, thesis and dissertation writing, data analysis, statistics, project management, academic English, grammar, and university-level study guides across multiple disciplines. Whether you are an undergraduate, postgraduate student, or a working professional pursuing further education, our academic books Kenya PDF collection has the resources you need to succeed.
Titles include practical guides on data analysis with Microsoft Excel, quantitative and qualitative research methods, project planning, statistical analysis, and academic writing for Kenyan universities. All academic and research ebooks are paid via M-Pesa and delivered instantly on WhatsApp — no waiting, no shipping fees. Browse and download your academic study guide today for just Ksh 100.
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Data Analysis with Microsoft Excel: Updated for Office 2007 – Berk And Carey
Original price was: KSh300.00.KSh100.00Current price is: KSh100.00. DOWNLOAD -
Thesis Writing for Master’s and Ph.D. Program – Subhash Chandra Parija
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101 Most Popular Excel Formulas – Bryan Hong
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How to Write Reports and Proposals – Patrick Forsyth
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Research Methodology: Methods and Techniques – C.R. Kothari
Original price was: KSh500.00.KSh100.00Current price is: KSh100.00. DOWNLOAD -
Grammar of Spoken and Written English – Douglas Biber
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Data Analytics with Microsoft Excel and Power BI – Punit Prabhu
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Writing a Proposal for Your Dissertation: Guidelines and Examples – Steven R. Terrell PhD
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Research Design: Qualitative, Quantitative, and Mixed Methods Approaches – John W. Creswell
Original price was: KSh300.00.KSh100.00Current price is: KSh100.00. DOWNLOAD -
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter – Wes McKinney
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Data Visualization in Excel: A Guide for Beginners, Intermediates, and Wonks
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McGraw-Hill’s Concise Guide to Writing Research Papers – Carol Ellison
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Learning SQL: Generate, Manipulate, and Retrieve Data – Alan Beaulieu
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Using IBM® SPSS® Statistics – James O. Aldrich
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Python for Data Analysis – Wes McKinney
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The Complete Guide to Referencing and Avoiding Plagiarism – Colin Neville
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