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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 the extraction of insights from complex datasets, utilizing statistical methods, machine learning, and domain expertise to make informed decisions.
Data Science operates by collecting, processing, and analyzing data through statistical algorithms and machine learning models, aiming to extract meaningful patterns and insights.
Data Science Certification Courses are open to individuals with a background in mathematics, statistics, computer science, or related fields, although some programs accept diverse educational backgrounds.
A career in Data Science typically requires educational qualifications such as a bachelor's degree in computer science, statistics, mathematics, or a related field.
Essential skills for a Data Scientist include proficiency in programming languages (Python, R), statistical analysis, machine learning, data visualization, and effective communication to interpret findings.
In Zimbabwe, a Data Scientist's career path involves roles such as Data Analyst, Junior Data Scientist, Senior Data Scientist, and Chief Data Officer in industries like finance, healthcare, and technology.
Initiating a career in data science in Zimbabwe involves acquiring relevant education, gaining hands-on experience through projects, and networking within the local data science community.
The premier data science program in Zimbabwe is the Certified Data Scientist Course. This all-encompassing curriculum equips participants with essential skills in statistical analysis, machine learning, and data interpretation, ensuring a thorough understanding of the field and enhancing employment prospects across diverse roles within the realm of data science.
Data science internships in Zimbabwe provide valuable practical experience, allowing individuals to apply theoretical knowledge in real-world scenarios, enhancing their employability.
As per Salary Explorer, the typical salary for a Data Scientist in Zimbabwe is approximately 360,000 ZWD.
Handling missing data in Data Science Projects involves assessing its impact on analysis, filling gaps through statistical methods or predictive modeling, and utilizing advanced techniques such as multiple imputation. The choice of method should align with the data's nature and project goals to maintain analysis integrity and ensure reliable results.
In the education sector, Data Science is pivotal for informed decision-making, personalizing learning experiences, predicting student performance, and optimizing administrative processes via insightful data analysis.
Transitioning into a Data Science Career involves acquiring pertinent education, hands-on experience, networking, and showcasing skills through a comprehensive portfolio to attract potential employers.
Common misconceptions about Data Science include oversimplifying it as mere programming, associating it exclusively with big data, and underestimating the importance of domain expertise and interdisciplinary skills.
Challenges in integrating AI ethics into Data Science encompass addressing algorithmic bias, ensuring transparent decision-making, and establishing ethical guidelines amid privacy concerns.
Effective preparation for a data science job interview necessitates mastering technical skills, understanding business contexts, honing problem-solving abilities, and communicating findings with clarity and persuasiveness.
In Data Science, Python is often favored over R for its versatility, extensive libraries, and broader industry adoption; however, language choice depends on specific project requirements and personal preferences.
Data Science extracts insights from data through statistical and machine learning, whereas Data Engineering focuses on constructing systems for data generation, transformation, and storage.
Data Science has transformed the gaming industry by enabling personalized gaming experiences, predicting player behavior, optimizing in-game design, and enhancing fraud detection. Through data-driven insights, companies can tailor games to individual preferences, improving player engagement and overall gaming experiences.
To stay current in Data Science, individuals can engage in continuous learning through reputable online courses, attend conferences, participate in professional forums, and actively explore emerging tools and methodologies. Additionally, networking with peers and staying informed about industry trends contribute to ongoing professional development.
DataMites' Certified Data Scientist Course in Zimbabwe is globally renowned for its popularity, comprehensiveness, and career-oriented approach in Data Science and Machine Learning. Regular updates are incorporated to keep pace with industry dynamics, ensuring the course's relevance. With a meticulously fine-tuned curriculum, participants experience an organized and focused learning process.
DataMites presents an array of Data Science certifications in Zimbabwe, including 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 in Operations, Marketing, HR, Finance, and more.
Those just starting in the field can access basic data science training options in Zimbabwe, including courses like Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science.
DataMites' data science training programs in Zimbabwe offer a versatile fee structure, spanning from ZWD 191,514 to ZWD 478,841. This range ensures affordability and inclusivity, enabling aspiring data scientists in Zimbabwe to access comprehensive training and advance their skills in the field of data science.
Professionals looking to boost their knowledge in Zimbabwe can benefit from DataMites' specialized courses, covering topics like 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 Certified Data Scientist Training in Zimbabwe has no prerequisites, making it appropriate for beginners and intermediate individuals in the field of data science.
The flexibility of online data science training in Zimbabwe with DataMites empowers participants to learn from anywhere, overcoming geographical constraints and accessing quality education. The interactive online platform encourages engagement through discussions, forums, and collaborative activities, enhancing the overall data science training experience.
The duration of DataMites' data scientist course in Zimbabwe varies, lasting anywhere from 1 to 8 months, based on the specific course level.
Leading DataMites' data science training sessions are expert mentors and faculty members equipped with real-time experience from top companies, including esteemed institutions such as IIMs.
Indeed, participants must have a valid photo identification proof, such as a national ID card or driver's license, on hand when collecting their participation certificate or scheduling the certification exam, if it becomes necessary.
DataMites ensures participants have recorded sessions and supplementary materials available if they miss a data science training session in Zimbabwe, allowing them to catch up at their convenience.
Certainly, in Zimbabwe, participants can take advantage of a demo class with DataMites before committing to the data science training fee, experiencing firsthand the course structure and content.
In Zimbabwe, participants at DataMites can access data science courses with internship components, providing them with practical experience to enhance their skills in real-world situations.
Specifically addressing the requirements of managers and leaders, DataMites' "Data Science for Managers" course provides them with vital skills to integrate data science into decision-making processes, enabling well-informed and strategic decision-making.
Certainly, DataMites in Zimbabwe offers a Data Scientist Course with hands-on experience through 10+ capstone projects and a dedicated client/live project. This practical exposure contributes to the enhancement of participants' skills, providing authentic real-world application and industry-relevant experience.
Certainly, DataMites awards a Certificate of Completion for the Data Science Course. Upon finishing the course, participants can request the certificate through the online portal, validating their expertise in data science and boosting their credibility in the job market.
At DataMites, the Flexi-Pass feature permits participants to attend missed sessions with flexibility, offering access to recorded sessions and supplementary materials. This ensures a learning experience that caters to individual schedules.
Certainly, in Zimbabwe, participants can decide to attend help sessions, providing a valuable opportunity to grasp specific data science topics more profoundly. This approach ensures comprehensive learning and addresses individual queries effectively.
Adopting an interactive format, DataMites' career mentoring sessions deliver personalized guidance on resume building, data science interview preparation, and career strategies. These sessions provide valuable insights and strategies to enhance participants' professional path in the field of data science.
Completing DataMites' Data Science Training in Zimbabwe results in participants receiving the esteemed IABAC Certification, an internationally recognized validation of their proficiency in data science concepts and practical applications. This certification is a valuable credential, affirming their expertise and elevating their credibility in the data science field.
Training for data science courses at DataMites in Zimbabwe is conducted through Online Data Science Training in Zimbabwe and Self-Paced Training methods.
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.