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 operates by collecting and analyzing extensive datasets to reveal patterns, trends, and insights. It utilizes statistical methods, machine learning algorithms, and programming languages like Python or R to extract valuable information.
Data Science entails deriving insights and knowledge from data using techniques such as statistics, machine learning, and data analysis, covering the entire data lifecycle from collection to visualization.
While a bachelor's degree in a related field is common, many Data Scientists possess advanced degrees like a master's or Ph.D. Strong foundational skills in mathematics, programming, and relevant experience are crucial.
The Certified Data Scientist Course is a standout choice in Zambia, offering a comprehensive curriculum covering essential data science skills such as programming, statistics, and machine learning. Participants gain hands-on experience for successful careers in this dynamic field.
Individuals with backgrounds in mathematics, statistics, computer science, or related fields are eligible for Data Science Certification Courses. These courses are also beneficial for professionals looking to enhance analytical skills or make a career transition into the field.
Statistics plays a foundational role in data science, aiding analysts in drawing meaningful conclusions from data. It involves descriptive statistics for data summarization and inferential statistics for making predictions and decisions based on sampled data.
Critical skills for Data Scientists include proficiency in programming languages, data manipulation, statistical analysis, machine learning, and effective communication for conveying findings.
According to Salary Explorer, Data Scientists in Zambia typically earn an annual salary of approximately 9,960 ZMK. This reflects the market's acknowledgment of their specialized skills in data analysis and interpretation, emphasizing their crucial role in informing strategic decisions and driving innovation within various industries in Zambia.
Start by establishing a strong foundation in mathematics and programming. Gain hands-on experience with real-world datasets, explore online courses, engage in projects, and build a portfolio showcasing your skills. Networking with professionals in the field can provide valuable insights.
Data Science in finance is integral for risk management, fraud detection, customer segmentation, and algorithmic trading. It utilizes predictive modeling and analytics to optimize decision-making, enhance customer experiences, and identify anomalies in financial transactions.
Common challenges include data quality issues, model interpretability, and scalability. Addressing these challenges involves rigorous data preprocessing, implementing explainable AI techniques, and optimizing algorithms for efficient processing.
Internships offer practical exposure to real-world projects, fostering hands-on skill development and industry insights. They enhance resumes, facilitate networking, and often lead to full-time employment opportunities.
Enrolling in Data Science Bootcamps can be valuable for swiftly acquiring skills. These programs provide practical experience, mentorship, and networking, expediting entry into the field. However, individual dedication and the bootcamp's quality significantly impact success.
Data Scientists are responsible for collecting, processing, and analyzing extensive datasets to derive actionable insights. They develop predictive models, design experiments, and communicate findings to inform strategic decision-making. Collaborating with cross-functional teams, they contribute to problem-solving and drive innovation within the organization.
In Zambia, Data Scientists typically commence their careers as analysts, advancing to senior positions or specializing in roles such as machine learning engineers or data architects. Continuous learning, networking, and hands-on experience contribute to their career growth.
Data Science empowers retailers to analyze customer behavior, preferences, and purchase history, facilitating effective segmentation. By leveraging machine learning algorithms, businesses can personalize shopping experiences, offer product recommendations, and optimize marketing strategies, ultimately enhancing customer satisfaction and loyalty.
The Data Science project lifecycle encompasses defining objectives, data collection and preprocessing, exploratory data analysis, model development, validation, deployment, and continuous monitoring. Each phase is vital to ensure alignment with business goals and the delivery of meaningful insights.
In manufacturing and supply chain management, Data Science optimizes processes by predicting equipment failures, improving demand forecasting, and optimizing inventory management. It enhances operational efficiency, reduces costs, and streamlines supply chain operations.
Data Science is pivotal in e-commerce, analyzing customer behavior, preferences, and transaction data. Recommendation systems, fueled by machine learning algorithms, personalize user experiences, provide product suggestions, and boost customer engagement, ultimately increasing sales and satisfaction.
Data Science is widely applied in sectors like finance, healthcare, e-commerce, manufacturing, and telecommunications. Its versatile tools and techniques contribute to enhanced decision-making, efficiency, and innovation across diverse industries.
DataMites offers a diverse range of data science certifications in Zambia, including the renowned Certified Data Scientist course and specialized programs like Data Science for Managers and Data Science Associate. These cater to various skill levels and professional needs, covering domains such as Marketing, Operations, Finance, HR, and more.
DataMites' data science training in Zambia offers a versatile cost structure ranging from ZMW 13,653 to ZMW 34,137. This ensures affordability and accommodates diverse budget preferences. The training programs cover a comprehensive curriculum, including practical applications, making them suitable for individuals at different proficiency levels and contributing to the growing demand for skilled data scientists in Zambia.
For newcomers in Zambia, DataMites provides foundational data science training through courses like Certified Data Scientist, offering comprehensive skills. The Data Science in Foundation track and the Diploma in Data Science ensure a holistic learning experience, making them ideal starting points for individuals entering the field of data science.
The DataMites Certified Data Scientist Course in Zambia is a globally recognized program in Data Science and Machine Learning. Updated to align with industry needs, it offers a job-oriented approach, equipping participants with essential skills and knowledge for success in the dynamic field of data science.
No prerequisites are necessary for enrolling in the Certified Data Scientist Training in Zambia. Designed for beginners and intermediate learners in data science, the course ensures accessibility to individuals looking to enter the field.
Enrolling in DataMites' online data science training in Zambia offers the flexibility to learn from any location, overcoming geographical constraints. The interactive online platform encourages engagement through discussions, forums, and collaborative activities, enhancing the overall data science training experience.
Certainly, DataMites offers specialized data science courses for Zambia for professionals, including Statistics, Python, and Certified Data Scientist Operations. Tailored options such as Data Science with R Programming and Certified Data Scientist Courses in Marketing, HR, and Finance specifically cater to working professionals, ensuring targeted skill enhancement.
The duration of DataMites' data scientist courses in Zambia varies from 1 to 8 months, depending on the course level and specific program.
Yes, participants are required to present a valid photo identification proof, such as a national ID card or driver's license, to receive their participation certificate and, if necessary, to schedule the certification exam during the data science training sessions in Zambia.
Acknowledging unforeseen circumstances, DataMites offers recorded sessions for review, enabling participants to catch up on missed content. Additionally, one-on-one sessions with trainers address queries and clarify concepts covered during the missed session, ensuring a comprehensive learning experience.
Certainly, successfully completing the data science course in Zambia with DataMites earns participants a prestigious certification from IABAC, validating their proficiency in the field.
Yes, DataMites offers a trial class option in Zambia, providing participants with a preview of the training content and learning environment before committing to the fee.
Trainers at DataMites are chosen based on their elite status, with faculty members possessing real-time experience from top companies and prestigious institutes such as IIMs conducting the data science training sessions.
The Flexi-Pass at DataMites in Zambia allows participants to tailor their training schedule based on personal preferences, accommodating busy schedules and ensuring flexibility in pursuing data science training at their convenience.
DataMites offers data science course training in Zambia through online data science training in Zambia and self-paced training methods, providing flexibility and personalized learning opportunities.
The optimal choice for managers or leaders seeking to integrate data science into decision-making processes is the "Data Science for Managers" course at DataMites.
Certainly, DataMites in Zambia provides assistance sessions for participants, offering additional support and clarification on specific data science topics, ensuring a thorough understanding.
Upon completion of Data Science Training in Zambia, DataMites awards an IABAC Certification, acknowledging participants' proficiency in data science.
DataMites' career mentoring sessions in Zambia follow an interactive format, guiding participants on industry trends, resume building, and interview preparation, enhancing their employability in the data science field.
Certainly, DataMites ensures the inclusion of live projects as part of their Data Scientist Course in Zambia, featuring over 10 capstone projects and hands-on client/live project experience.
Indeed, DataMites provides Data Science Courses with internship opportunities in Zambia, offering valuable hands-on experience with AI companies.
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.