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Self Learning + Live Mentoring
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The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
MODULE 1: DATA SCIENCE COURSE INTRODUCTION
MODULE 2: DATA SCIENCE ESSENTIALS
MODULE 3: DATA SCIENCE DEMO
MODULE 4: ANALYTICS CLASSIFICATION
MODULE 5: DATA SCIENCE AND RELATED FIELDS
MODULE 6: DATA SCIENCE ROLES & WORKFLOW
MODULE 7: MACHINE LEARNING INTRODUCTION
MODULE 8: DATA SCIENCE INDUSTRY APPLICATIONS
MODULE 1: PYTHON BASICS
MODULE 2: PYTHON CONTROL STATEMENTS
MODULE 3: PYTHON DATA STRUCTURES
MODULE 4: PYTHON FUNCTIONS
MODULE 5: PYTHON NUMPY PACKAGE
MODULE 6: PYTHON PANDASPACKAGE
MODULE 1: OVERVIEW OF STATISTICS
MODULE 2: HARNESSING DATA
MODULE 3: EXPLORATORY DATA ANALYSIS
MODULE 4: HYPOTHESIS TESTING
MODULE 5: CORRELATION AND REGRESSION
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: PYTHON NUMPY & PANDAS PACKAGE
MODULE 3: VISUALIZATION WITH PYTHON
MODULE 4: ML ALGO: LINEAR REGRESSION
MODULE 5: ML ALGO: KNN
MODULE 6: ML ALGO: LOGISTIC REGRESSION
MODULE 7: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 8: ML ALGO: K MEANS CLUSTERING
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: ML ALGO: LINEAR REGRESSSION
MODULE 3: ML ALGO: LOGISTIC REGRESSION
MODULE 4: ML ALGO: KNN
MODULE 5: ML ALGO: K MEANS CLUSTERING
MODULE 6: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 7: ML ALGO: DECISION TREE
MODULE 8 : ML ALGO: NAÏVE BAYES
MODULE 9: GRADIENT BOOSTING, XGBOOST
MODULE 10: ML ALGO: SUPPORT VECTOR MACHINE (SVM)
MODULE 11: ARTIFICIAL NEURAL NETWORK (ANN)
MODULE 12: ADVANCED ML CONCEPTS
MODULE 1: TIME SERIES FORECASTING - ARIMA
MODULE 2: FEATURE ENGINEERING
MODULE 3: SENTIMENT ANALYSIS
MODULE 4: REGULAR EXPRESSIONS WITH PYTHON
MODULE 5: ML MODEL DEPLOYMENT WITH FLASK
MODULE 6: ADVANCED DATA ANALYSIS WITH MS EXCEL
MODULE 7: AWS CLOUD FOR DATA SCIENCE
MODULE 8: AZURE FOR DATA SCIENCE
MODULE 1: DATABASE INTRODUCTION
MODULE 2: SQL BASICS
MODULE 3: DATA TYPES AND CONSTRAINTS
MODULE 4: DATABASES AND TABLES (MySQL)
MODULE 5: SQL JOINS
MODULE 6: SQL COMMANDS AND CLAUSES
MODULE 7 : DOCUMENT DB/NO-SQL DB
MODULE 1: GIT INTRODUCTION
MODULE 2: GIT REPOSITORY and GitHub
MODULE 3: COMMITS, PULL, FETCH AND PUSH
MODULE 4: TAGGING, BRANCHING AND MERGING
MODULE 5: UNDOING CHANGES
MODULE 6: GIT WITH GITHUB AND BITBUCKET
MODULE 1: BIG DATA INTRODUCTION
MODULE 2 : HDFS AND MAP REDUCE
MODULE 3: PYSPARK FOUNDATION
MODULE 4: SPARK SQL and HADOOP HIVE
MODULE 5 : MACHINE LEARNING WITH SPARK ML
MODULE 6: KAFKA and Spark
MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION
MODULE 2: BI WITH TABLEAU: INTRODUCTION
MODULE 3 : TABLEAU: CONNECTING TO DATA SOURCE
MODULE 4: TABLEAU : BUSINESS INSIGHTS
MODULE 5: DASHBOARDS, STORIES AND PAGES
MODULE 6: BI WITH POWER-BI
Data Science encompasses a wide spectrum, involving the collection, cleaning, analysis, and interpretation of data. It utilizes statistical methods, machine learning, and domain expertise to derive meaningful insights, guiding informed decision-making processes.
Although coding skills are advantageous, individuals without coding experience can still venture into Data Science initially using user-friendly tools. However, acquiring proficiency in programming languages like Python is strongly advised for a well-rounded skill set and career advancement.
The operational process of Data Science comprises defining objectives, collecting and cleaning data, conducting exploratory data analysis, constructing models, evaluating results, and deploying solutions—a continuous cycle blending technical expertise with business insights.
A robust foundation in mathematics, statistics, or computer science is typically essential for a career in Data Science. Many Data Scientists hold degrees—bachelor's, master's, or PhD—in related fields. While advanced degrees offer depth, practical skills and experience are equally indispensable.
Critical skills for aspiring Data Scientists encompass proficiency in programming languages (Python, R), expertise in statistical analysis, familiarity with machine learning algorithms, adeptness in data cleaning, and effective communication. Problem-solving, critical thinking, and domain-specific knowledge are also pivotal for success.
Proficiency in Python is highly recommended for those entering the Data Science field. Given Python's adaptability, extensive libraries, and industry prevalence, it serves as a common prerequisite. While other languages may be used, mastering Python ensures adaptability and collaborative effectiveness in the dynamic realm of Data Science.
In Nairobi, Data Scientists typically commence their journey as Analysts, advancing to positions like Senior Data Scientist or specializing in specific roles. With experience, avenues open up for managerial responsibilities, contributing to strategic decision-making and the implementation of advanced analytics.
Data Science Certification Courses welcome diverse individuals—recent graduates, working professionals, or those transitioning careers. Prerequisites often include basic quantitative skills, analytical thinking, and a strong eagerness to learn and apply data science methodologies.
Commence your Data Science journey in Nairobi by mastering foundational skills in mathematics, statistics, and programming. Engage in online courses, attend local workshops, and participate in Nairobi's Data Science community. Pursue relevant degrees or certifications aligning with your career aspirations.
Propel your data science career with the Certified Data Scientist course, endorsed by industry leaders in Nairobi. This program delivers a comprehensive curriculum covering data analysis, machine learning, and statistical modeling, empowering participants with practical skills and a recognized certification for impactful roles in the evolving landscape of data science.
In Nairobi, Data Scientists enjoy competitive compensation, with an average annual salary of KEH 969,100, according to Payscale. This signifies the recognition of data science expertise in the Nairobi job market, making it an attractive destination for professionals seeking both financial rewards and opportunities for professional growth in the dynamic field of data science.
The demand for Data Scientists is currently high in sectors like finance, healthcare, e-commerce, and technology. In Nairobi, technology hubs and urban centers are experiencing increased opportunities, creating a favorable landscape for aspiring Data Science professionals.
Stay informed about emerging trends like explainable AI, automated machine learning (AutoML), and advancements in natural language processing (NLP). Ethical considerations, responsible AI practices, and integrating data science into business strategies are gaining prominence in the dynamic field of Data Science.
While not universally mandatory, a postgraduate degree can enhance eligibility for data science training courses in Nairobi. Many programs accept individuals with strong quantitative skills, relevant work experience, or a bachelor's degree in a related field. Choose programs aligning with your career goals.
Data Science significantly contributes to the growth of Nairobi enterprises by optimizing operations, enhancing predictive analytics for decision-making, and fostering innovation. It aids in resource allocation efficiency, customer satisfaction improvement, and overall competitiveness in the dynamic business landscape.
Data Science plays a pivotal role in fostering the growth of Nairobi enterprises by optimizing operations, leveraging predictive analytics for informed decision-making, and driving innovation. Its contribution extends to enhancing resource allocation efficiency, elevating customer satisfaction, and fortifying overall competitiveness within Nairobi's dynamic business landscape.
Big Data and Data Science share a symbiotic relationship, with Data Science utilizing advanced techniques to analyze and extract valuable insights from vast and intricate datasets, commonly referred to as Big Data. This collaboration is integral for uncovering essential information crucial for strategic decision-making.
Data Science finds widespread applications across diverse industries, including finance, healthcare, marketing, and more. It serves as a linchpin in areas such as fraud detection in finance, improving diagnostics in healthcare, optimizing marketing strategies through customer segmentation, and enhancing operational efficiency across various sectors.
Data Science encompasses a broader spectrum, spanning data analysis, statistical modeling, and machine learning. While Machine Learning, a subset of Data Science, specifically focuses on algorithms enabling computers to learn patterns and make predictions, it addresses a more specialized aspect within the overarching data process.
Crafting a compelling Data Science portfolio involves showcasing diverse projects that demonstrate expertise in key areas such as data cleaning, exploratory data analysis, machine learning applications, and impactful data visualization. Clearly articulating problem-solving methodologies, highlighting tangible business impacts, and sharing code on platforms like GitHub enhance visibility and establish credibility in the field.
The DataMites Certified Data Scientist Course is renowned worldwide as the most comprehensive in Data Science and Machine Learning. Its continuous updates align with industry needs, offering a structured, job-oriented learning experience. This program redefines learning efficiency, ensuring participants acquire essential skills efficiently for success in the dynamic realm of data science.
DataMites' data science training programs in Nairobi have a fee structure ranging from KES 83,006 to KES 207,539, offering participants diverse choices to accommodate their budget and preferences for a comprehensive learning experience.
Nairobi provides accessible training options for novices entering the data science field. Beginner-friendly courses like Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science offer foundational knowledge and skills crucial for individuals starting their journey in the diverse and evolving field of data science.
DataMites presents specialized data science courses for professionals in Nairobi looking to advance their careers. Courses such as Statistics for Data Science, Data Science with R Programming, Python for Data Science, and sector-specific certifications in operations, marketing, HR, and finance offer targeted knowledge, equipping professionals with the skills needed to excel in their respective fields.
Participants in Nairobi can choose from varied data science courses by DataMites, with durations ranging from 1 to 8 months. This variety accommodates different learning preferences, allowing individuals to select the course duration that best suits their goals and availability.
The Certified Data Scientist Training in Nairobi is an inclusive program with no prerequisites. Tailored for beginners and intermediate learners in data science, this course ensures accessibility, allowing individuals from diverse backgrounds to embark on a learning journey in the dynamic field of data science.
DataMites brings the convenience of online data science training to Nairobi, enabling participants to learn without the constraints of location. This approach ensures access to quality education from any part of the country. The interactive online platform encourages engagement through discussions, forums, and collaborative activities, providing a comprehensive and enriched data science training experience in Nairobi.
DataMites employs trainers who are real-world practitioners and academic experts, sourced from leading companies and institutions like IIMs. This dual perspective ensures that data science training sessions are enriched with practical insights and academic depth, offering participants a comprehensive learning experience.
To facilitate the issuance of participation certificates and scheduling certification exams, participants are required to provide photo identification proof, like a national ID card or driver's license, during data science training sessions in Nairobi at DataMites. This ensures a streamlined and organized documentation process.
DataMites delivers tailored data science certifications in Nairobi, featuring the renowned Certified Data Scientist Program in Nairobi. Participants can choose specialized tracks like Data Science for Managers, Data Science Associate, and Diploma in Data Science to align with their career objectives. With modules like Statistics for Data Science, Python for Data Science, and sector-specific courses such as Data Science in Finance and HR, DataMites ensures a well-rounded and industry-relevant curriculum.
Participants in Nairobi can benefit from optional help sessions provided by DataMites to improve their understanding of specific data science topics. These sessions offer additional support and clarification, enhancing participants' overall learning experience in the field of data science.
Certainly, DataMites believes in transparency and offers a free demo class for those in Nairobi interested in data science course training in Nairobi. This allows individuals to explore the training structure and content before deciding to proceed with the course fee.
Participants in DataMites' data science courses in Nairobi have the opportunity for data science internships with AI companies, enhancing their learning through practical experience in the field.
Managers and leaders aiming to integrate data science into decision-making processes should opt for the "Data Science for Managers" course, tailored to provide strategic insights and practical applications for managerial roles.
Participants who miss a data science training session in Nairobi can utilize the platform's flexibility by accessing recorded sessions and additional learning resources. This approach ensures that participants have the necessary tools to stay engaged and informed, even if they miss a live session.
DataMites offers a Data Scientist Course in Nairobi with live projects, including 10+ capstone projects and 1 client project, providing participants with real-world exposure and practical skills application.
Career mentoring sessions at DataMites follow a well-defined format, addressing goal setting, skill enhancement, and industry insights. This structured approach ensures that participants receive valuable guidance to navigate and succeed in the dynamic field of data science.
DataMites provides tailored learning options for data science courses in Nairobi, featuring training methods like online data science training in Nairobi and self-paced training. This allows participants to customize their learning journey, ensuring an optimal and personalized experience.
Graduates of DataMites' Data Science Training in Nairobi receive IABAC Certification, underscoring their commitment to high-quality education and industry standards.
Yes, upon successfully completing the data science training with DataMites in Nairobi, participants will receive a course completion certification. This certificate acknowledges the individual's proficiency in data science and can serve as a valuable credential in their professional journey.
With DataMites' Flexi-Pass concept in data science training, participants have the flexibility to design their own learning schedule. This adaptable approach ensures that individuals can balance their professional and personal commitments while advancing their skills in data science.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.