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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 involves extracting insights from diverse datasets using statistical methods, machine learning, and domain expertise to inform decision-making.
The mechanism of Data Science includes collecting, processing, and analyzing data through statistical algorithms and machine learning models to uncover meaningful patterns and insights.
Data Science Certification Courses are open to individuals with backgrounds in mathematics, statistics, computer science, or related fields, although programs may accept diverse educational backgrounds.
For a profession in Data Science, educational qualifications typically include a bachelor's degree in computer science, statistics, mathematics, or a related field.
Crucial skills for aspiring Data Scientists encompass proficiency in programming (Python, R), statistical analysis, machine learning, data visualization, and effective communication.
In Harare, a Data Scientist's career trajectory includes roles such as Data Analyst, Junior Data Scientist, Senior Data Scientist, and Chief Data Officer across various industries.
Initiating a career in data science in Harare involves acquiring relevant education, gaining practical experience through projects, and networking within the local data science community.
The premier data science course in Harare is the Certified Data Scientist Program. This comprehensive training equips participants with essential skills in statistical analysis, machine learning, and data interpretation, fostering a thorough understanding of the field. Successful completion enhances employment prospects across diverse roles within the realm of data science.
Undertaking a data science internship in Harare is beneficial, offering practical experience to apply theoretical knowledge in real-world scenarios and enhance employability.
As per Salary Explorer, the typical salary for a Data Scientist in Zimbabwe is approximately 360,000 ZWD.
Keep abreast by consistently enrolling in cutting-edge online courses, attending industry conferences, actively participating in professional forums, and regularly applying acquired knowledge through hands-on projects. Continuous exploration of emerging tools and techniques ensures relevance in this rapidly evolving field.
Data Science enhances education by facilitating data-driven decision-making, personalizing learning experiences, predicting student performance, and optimizing administrative processes. Through insightful data analysis, educational institutions can make informed choices that positively impact both students and administrative efficiency.
Transition involves obtaining relevant education, gaining practical experience through projects, networking with professionals, and constructing a compelling portfolio showcasing skills and problem-solving abilities. Networking and seeking mentorship within the Data Science community can significantly aid in career advancement.
Address prevalent misconceptions, such as viewing Data Science solely as programming, associating it exclusively with big data, or underestimating the importance of domain expertise. Understanding the interdisciplinary nature of Data Science is crucial for a comprehensive grasp of the field.
Challenges include addressing algorithmic bias, ensuring transparent decision-making, and establishing ethical guidelines amidst privacy concerns. The integration of ethical considerations is vital to maintaining responsible and trustworthy practices in the development and deployment of AI in Data Science.
Success in interviews requires a comprehensive understanding of technical skills, the ability to apply these skills to real-world scenarios, effective communication of findings, and a clear demonstration of problem-solving capabilities. Regular practice through mock interviews and refining both technical and soft skills enhances preparedness.
Python is generally preferred over R in Data Science due to its versatility, extensive libraries, and broader industry adoption. However, the choice between the two depends on specific project requirements, and proficiency in either language is valuable.
Data Science involves extracting insights from data using statistical and machine learning techniques, while Data Engineering focuses on designing and constructing systems for data generation, transformation, and storage. While Data Science emphasizes analysis and interpretation, Data Engineering focuses on the infrastructure for effective data handling.
In the gaming industry, Data Science is applied for player behavior analysis, personalized gaming experiences, fraud detection, and optimizing game design through data-driven decision-making. This enhances user engagement and satisfaction by tailoring gaming experiences to individual preferences.
In Data Science Projects, address missing data by evaluating the impact on analysis, imputing missing values using statistical methods or predictive modeling, or employing advanced techniques like multiple imputation. Consider the nature of the data and the specific goals of the project, ensuring that the chosen method preserves the integrity of the analysis and enhances the reliability of results.
Recognized as the foremost program in Data Science and Machine Learning, the Certified Data Scientist Course in Harare by DataMites is acclaimed for its worldwide popularity, depth, and career-centric focus. Regular updates are integrated to stay abreast of industry requirements, guaranteeing the course's timeliness. The curriculum is carefully structured to facilitate an efficient and targeted learning experience for all participants.
DataMites' data science training programs in Harare offer a versatile fee structure, spanning from ZWD 191,514 to ZWD 478,841. This ensures affordability for a wide audience, enabling individuals in Zimbabwe to access comprehensive data science education at varying price points.
Discover a comprehensive selection of Data Science certifications offered by DataMites in Harare, spanning programs such as the Diploma in Data Science, Certified Data Scientist, Data Science for Managers, Data Science Associate, Statistics for Data Science, Python for Data Science, and specialized courses tailored for Operations, Marketing, HR, Finance, and beyond.
Entry-level data science training options are accessible for novices in Harare, with courses like Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science.
For working professionals in Harare, DataMites presents specialized courses to enrich their expertise. These courses include Statistics for Data Science, Data Science with R Programming, Python for Data Science, Data Science Associate, and certifications in Operations, Marketing, HR, and Finance.
The duration of DataMites' data scientist course in Harare fluctuates, ranging between 1 and 8 months, contingent upon the particular course level.
Enrolling in the Certified Data Scientist Training in Harare is open to beginners and intermediate learners in the field of data science, with no prerequisites required.
DataMites' online data science training in Harare provides the convenience of learning from any location, liberating participants from geographical limitations and offering access to quality education. The interactive online platform fosters engagement through discussions, forums, and collaborative activities, contributing to an enriched data science training experience.
Expert mentors and faculty members, boasting real-time experience from top companies, including elite institutions like IIMs, are entrusted with conducting DataMites' data science training sessions in Harare.
Absolutely, a valid photo identification proof, like a national ID card or driver's license, is essential for participants when collecting their participation certificate or scheduling the certification exam, if it proves necessary.
Indeed, participants in Harare are given the choice to attend help sessions, creating a valuable opportunity for a deeper understanding of specific data science topics. This ensures comprehensive learning and addresses individual queries effectively.
Recorded sessions and supplementary materials are made available by DataMites for participants who miss a data science training session in Harare, offering them the flexibility to catch up at their convenience.
Indeed, in Harare, DataMites provides an opportunity for participants to attend a demo class before committing to the data science training fee, enabling them to assess the course structure and content.
Tailored for managers and leaders, the "Data Science for Managers" course at DataMites equips them with essential skills to effectively integrate data science into decision-making processes, fostering well-informed and strategic choices.
Indeed, in Harare, DataMites provides a Data Scientist Course that involves hands-on experience through 10+ capstone projects and a dedicated client/live project. This practical exposure enhances participants' skills, offering genuine real-world application and industry-specific experience.
The available training methods for data science courses at DataMites in Harare include Online Data Science Training in Harare and Self-Paced Training.
Indeed, a Data Science Course Completion Certificate is provided by DataMites. After successfully completing the course, participants can request the certificate through the online portal, verifying their proficiency in data science and enhancing their marketability.
The Flexi-Pass at DataMites provides participants with flexibility in attending missed sessions, granting access to recorded sessions and supplementary materials. This feature ensures a seamless learning experience designed to suit individual schedules.
DataMites' career mentoring sessions, structured in an interactive format, provide personalized guidance on resume building, data science interview preparation, and career strategies. Participants gain valuable insights and strategies to augment their professional journey in the realm of data science.
Participants who successfully finish DataMites' Data Science Training in Harare are granted the prestigious IABAC Certification, an internationally recognized certification affirming their mastery of data science concepts and practical applications. This serves as a valuable credential, validating their expertise and boosting their credibility in the field of data science.
DataMites in Harare integrates internship opportunities into its data science courses, providing participants with practical experience to enhance their skills in real-world scenarios.
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.