Instructor Led Live Online
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 is a multidisciplinary field involving the extraction of insights from data through statistical analysis, machine learning, and domain expertise. It encompasses various phases, including data collection, cleaning, analysis, and interpretation, serving as the cornerstone for informed decision-making.
Big Data and Data Science intricately connect as Data Science employs techniques to analyze and derive valuable insights from large, intricate datasets—commonly known as Big Data. Their synergy is evident in extracting meaningful information for informed decision-making.
While coding proficiency broadens opportunities, entry into Data Science is feasible without coding experience. Beginner-friendly tools provide an initial pathway, yet aspiring professionals are encouraged to learn programming languages, notably Python, for a comprehensive skill set.
A robust foundation in mathematics, statistics, or computer science is customary for a career in Data Science. While many professionals hold bachelor's, master's, or PhD degrees in related fields, the industry equally values practical skills and hands-on experience.
Proficiency in programming languages, especially Python, is essential for Data Scientists. Other critical data science skills include expertise in statistical analysis, machine learning algorithms, effective communication, and domain-specific knowledge. Success also hinges on problem-solving acumen and the ability to extract actionable insights.
Develop a compelling portfolio showcasing diverse projects that demonstrate mastery in data cleaning, exploratory data analysis, machine learning applications, and impactful data visualization. Articulate problem-solving methodologies clearly and emphasize the tangible business outcomes derived from your projects.
Proficiency in Python stands as a pivotal requirement for entering the Data Science domain due to its versatility, extensive libraries, and widespread industry adoption. While familiarity with other programming languages can be beneficial, Python's prevalence ensures adaptability and collaborative synergy within the dynamic landscape of Data Science.
In Kenya, Data Scientists typically start as Analysts, progressing to data scientist job roles like Senior Data Scientist or Machine Learning Engineer. With experience, they may assume managerial or specialized positions, influencing strategic decision-making and implementing advanced analytics solutions.
Data Science Certification Courses in Kenya welcome various individuals, including recent graduates, working professionals, or those seeking a career change. Prerequisites often include a foundational understanding of quantitative concepts, analytical thinking, and a keen interest in mastering data science methodologies.
Initiate your journey by mastering foundational skills in mathematics, statistics, and programming. Engage in data science training online in Kenya, attend local workshops, and participate in Kenya's Data Science community. Pursue relevant degrees or certifications aligning with your career aspirations.
Compensation for Data Scientists in Kenya is lucrative, averaging KEH 969,100, as reported by Payscale. This reflects the high demand for data science skills in the Kenyan job market, where organizations recognize and reward the expertise of Data Scientists, making it an attractive career choice for professionals seeking financial rewards and professional growth.
Develop a diverse portfolio showcasing projects that highlight data cleaning, exploratory data analysis, machine learning applications, and impactful data visualization. Clearly articulate your problem-solving approach, emphasize business impacts, and share your code on platforms like GitHub for visibility.
The demand for Data Scientists is currently high in sectors such as finance, healthcare, e-commerce, and technology. Urban centers and technology hubs, including Nairobi, experience increased opportunities, presenting a favorable landscape for prospective 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 the integration of data science into business strategies are gaining prominence in the evolving field.
While not obligatory, having a postgraduate degree can enhance eligibility for data science training courses in Kenya. 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 operates through a cyclic process, involving problem definition, data collection, cleaning, exploratory data analysis, model building, evaluation, and solution deployment. Collaboration between data professionals and domain experts is pivotal for effective results.
Data Science fuels growth in Kenya enterprises by optimizing processes, enhancing decision-making through predictive analytics, and fostering innovation. It contributes to resource allocation efficiency, customer satisfaction, and overall competitiveness in a dynamic business environment.
Secure your path to success in data science with the Certified Data Scientist Course in Kenya. This program offers a robust curriculum encompassing data analysis, machine learning, and statistical modeling, ensuring participants gain hands-on experience and an industry-recognized certification for a rewarding career in data science.
Data Science finds applications in finance, healthcare, marketing, and more. It plays a pivotal role in fraud detection in finance, improving diagnostics in healthcare, optimizing marketing strategies through customer segmentation, and enhancing operational efficiency across diverse industries.
Data Science is a broader field encompassing data analysis, statistical modeling, and machine learning. Machine Learning is a subset, focusing on algorithms enabling computers to learn patterns and make predictions based on data. While Data Science covers the entire data process, Machine Learning is more specialized, addressing specific predictive modeling aspects.
Positioned as the global standard in Data Science and Machine Learning education, the DataMites Certified Data Scientist Course is consistently updated to meet industry demands. This program stands out for its job-oriented focus, delivering a structured learning process that enables participants to navigate the complexities of data science effectively.
The fee structure for DataMites' data science training programs in Kenya varies from KES 83,006 to KES 207,539, ensuring participants have flexible options to select a program aligned with their learning goals and financial considerations.
Tailored for beginners, Kenya offers accessible data science training through programs like Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science. These courses are designed to provide foundational understanding and practical skills, ensuring a smooth entry into the dynamic world of data science.
Kenya prioritizes the professional growth of its workforce with DataMites' specialized data science courses. Designed for working professionals, offerings include Statistics for Data Science, Data Science with R Programming, Python for Data Science, and certifications in operations, marketing, HR, and finance. These courses ensure professionals acquire advanced skills tailored to their career trajectories.
DataMites' data science courses in Kenya are adaptable, with durations varying from 1 to 8 months. This adaptability ensures that participants can choose courses that align with their desired level of proficiency and fit into their individual schedules and commitments.
Undertaking the Certified Data Scientist Training in Kenya requires no prerequisites. Geared towards beginners and intermediate learners in data science, this course eliminates entry barriers, welcoming individuals from various backgrounds to explore and excel in the field.
Experience the convenience of online data science training with DataMites in Kenya, where participants can learn from any location. The interactive platform facilitates engagement through discussions, forums, and collaborative activities, ensuring a comprehensive and enriched data science training experience.
At DataMites, trainers for data science sessions are chosen from industry leaders and faculty members associated with renowned institutes like IIMs. This dual expertise ensures that training is led by individuals with practical experience and academic excellence, enhancing the overall learning experience.
Bringing a valid photo identification proof, such as a national ID card or driver's license, is essential for participants during data science training sessions at DataMites. This is required for obtaining participation certificates and scheduling any relevant certification exams.
DataMites caters to diverse learning needs in Kenya with a range of data science certifications. The acclaimed Certified Data Scientist program headlines the offerings, complemented by specialized courses including Data Science for Managers and Data Science Associate. Participants can delve into focused modules like Statistics for Data Science, Python for Data Science, and explore industry-specific tracks such as Data Science in Finance and HR for a comprehensive learning experience.
In the case of a missed training session in Kenya, participants can access an online portal with recorded sessions and supplementary materials. This self-paced learning option ensures that participants can catch up on missed content at their convenience.
Before committing to the data science training fee, individuals in Kenya can take advantage of a complimentary demo class offered by DataMites. This ensures that participants have a clear understanding of what the training entails and can make an informed decision about their enrollment.
Yes, DataMites in Kenya provides data science courses with internships at AI companies, allowing participants to apply their knowledge in real-world scenarios.
"Data Science for Managers" is the most suitable course for leaders and managers, offering specialized insights to integrate data science effectively into their decision-making frameworks.
DataMites offers help sessions in Kenya to aid participants in better understanding specific data science topics. These sessions are optional and provide additional support and clarification, promoting a more in-depth comprehension of the course material.
Yes, at DataMites in Kenya, the Data Scientist course includes live projects comprising 10+ capstone projects and 1 client project, ensuring participants gain practical insights and hands-on experience.
DataMites' Flexi-Pass for data science training empowers participants to tailor their learning schedule according to their preferences. This unique approach accommodates diverse schedules, enabling individuals to engage in high-quality data science education at their convenience.
DataMites' career mentoring sessions, embedded in their data science training, follow a structured format. These sessions guide participants through goal setting, skill building, and industry trends, offering personalized insights to help individuals carve a successful path in their data science careers.
At DataMites, participants in Kenya can opt for personalized learning experiences with various training methods for data science courses, including online data science training in Kenya and self-paced training. This flexibility accommodates diverse learning preferences.
DataMites in Kenya awards participants with IABAC Certification upon completion of their Data Science Training, highlighting their excellence in the field.
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.