Instructor Led Live Online
Self Learning + Live Mentoring
Customize Your Training
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
Statistics plays a crucial role in data science, aiding analysts in drawing meaningful conclusions from data. This encompasses descriptive statistics for data summarization and inferential statistics for making predictions and decisions based on sampled data.
Data Science entails extracting 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 hold advanced degrees such as a master's or Ph.D. Strong foundational skills in mathematics, programming, and relevant experience are equally crucial.
Data Science operates by collecting and analyzing extensive datasets to reveal patterns, trends, and insights. It employs statistical methods, machine learning algorithms, and programming languages like Python or R to extract valuable information.
The Certified Data Scientist Course stands out as a premier option in Lusaka. This comprehensive program covers essential data science skills, including programming, statistics, and machine learning, providing hands-on experience for successful careers in the dynamic field.
Data Science in finance is employed for risk management, fraud detection, customer segmentation, and algorithmic trading. It utilizes predictive modeling and analytics to optimize decision-making processes, enhance customer experiences, and identify anomalies in financial transactions.
Individuals with backgrounds in mathematics, statistics, computer science, or related fields can enroll in Data Science Certification Courses. These courses are also beneficial for professionals aiming to enhance analytical skills or transition into the field.
Vital skills for aspiring Data Scientists include proficiency in programming languages, data manipulation, statistical analysis, machine learning, and effective communication to convey findings convincingly.
Start by building a strong foundation in mathematics and programming. Gain practical experience with real-world datasets, explore online courses, engage in projects, and create a portfolio showcasing your skills. Networking with professionals in the field also provides valuable insights.
Common challenges include data quality issues, model interpretability, and scalability. Addressing these challenges involves meticulous data preprocessing, the utilization of explainable AI techniques, and optimizing algorithms for efficient processing.
Data Science is pivotal in e-commerce, analyzing customer behavior, preferences, and transaction data. Through recommendation systems driven by machine learning algorithms, it personalizes user experiences, suggests products, and elevates customer engagement, ultimately boosting sales and satisfaction.
In Lusaka, Data Scientists typically begin as analysts, advancing to senior roles or specializing in positions like machine learning engineers or data architects. Career growth is often achieved through continuous learning, networking, and hands-on experience.
Internships offer practical exposure to real-world projects, fostering hands-on skill development and industry insight. They not only enhance resumes but also facilitate networking, often leading to full-time job opportunities.
Enrolling in Data Science Bootcamps can be beneficial for rapidly acquiring skills. These programs provide practical experience, mentorship, and networking, expediting entry into the field. Success, however, depends on individual dedication and the quality of the chosen bootcamp.
Data Scientists are responsible for collecting, processing, and analyzing extensive datasets to derive actionable insights. They create 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.
Data Science empowers retailers to analyze customer behavior, preferences, and purchase history, facilitating effective segmentation. Through the use of machine learning algorithms, businesses can customize shopping experiences, suggest products, and optimize marketing strategies, ultimately enhancing customer satisfaction and loyalty.
The Data Science project lifecycle involves defining objectives, data collection, preprocessing, exploratory data analysis, model development, validation, deployment, and continuous monitoring. Each stage is pivotal to ensure alignment with business objectives and deliver valuable insights.
In manufacturing and supply chain management, Data Science optimizes processes by predicting equipment failures, improving demand forecasting, and refining inventory management. This enhances operational efficiency, cuts costs, and streamlines overall supply chain operations.
As per Salary Explorer, Data Scientists in Lusaka, can anticipate an annual salary of approximately 9,960 ZMK. This reflects the recognition of their specialized skills in data analysis, contributing to informed decision-making. Their role is crucial in fostering innovation and efficiency across various industries in the vibrant city of Lusaka.
Data Science is extensively utilized in sectors like finance, healthcare, e-commerce, manufacturing, and telecommunications. Its adaptable tools and methodologies contribute to enhanced decision-making, operational efficiency, and innovation across a variety of industries.
Trainers at DataMites are chosen based on their elite status, with faculty members possessing real-time experience from top companies and esteemed institutes like IIMs conducting the data science training sessions.
DataMites provides a diverse range of data science certifications in Lusaka, including the well-known Certified Data Scientist course and specialized programs such as Data Science for Managers and Data Science Associate. These cater to various skill levels and professional domains, encompassing Marketing, Operations, Finance, HR, and more.
For newcomers in Lusaka, DataMites offers foundational data science training through courses like Certified Data Scientist, providing comprehensive skills. The Data Science in Foundation track and the Diploma in Data Science ensure a well-rounded learning experience, serving as ideal starting points for those entering the data science field.
The duration of DataMites' data scientist courses in Lusaka ranges from 1 to 8 months, varying based on the course level and specific program.
No prerequisites are required for enrolling in the Certified Data Scientist Training in Lusaka. Tailored for beginners and intermediate learners in data science, the course ensures accessibility for individuals looking to enter the field.
DataMites' online data science training in Lusaka provides the flexibility to learn from any location, overcoming geographical constraints. The interactive online platform fosters engagement through discussions, forums, and collaborative activities, enriching the overall data science training experience.
The cost structure for DataMites' data science training in Lusaka is designed to be flexible, with fees ranging from ZMW 13,653 to ZMW 34,137. This adaptability ensures accessibility for a wide range of participants, allowing them to choose a plan that aligns with their budget constraints. The training curriculum encompasses a holistic approach, incorporating practical skills and knowledge applicable to various data science roles in Lusaka.
Certainly, DataMites provides specialized data science courses for Lusakaian professionals, including Statistics, Python, and Certified Data Scientist Operations. Tailored options like Data Science with R Programming and Certified Data Scientist Courses in Marketing, HR, and Finance specifically target working professionals, ensuring focused skill enhancement.
The DataMites Certified Data Scientist Course in Lusaka is globally recognized in Data Science and Machine Learning. Updated to align with industry needs, it adopts a job-oriented approach, equipping participants with crucial skills and knowledge for success in the dynamic field of data science.
Yes, participants need to provide 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.
Certainly, participants who successfully complete the data science course in Lusaka with DataMites receive a prestigious certification, validating their proficiency in the field.
Yes, DataMites offers a trial class option in Lusaka, allowing participants to preview the training content and experience the learning environment before committing to the fee.
Absolutely, DataMites offers Data Science Courses with internship opportunities in Lusaka, providing valuable hands-on experience with AI companies.
The Flexi-Pass at DataMites in Lusaka offers participants flexible learning options, enabling them to customize their training schedule based on personal preferences. This accommodates busy schedules, ensuring individuals can pursue data science training at their convenience.
The recommended option for managers or leaders seeking to incorporate data science into decision-making processes is the "Data Science for Managers" course at DataMites.
Certainly, DataMites ensures the inclusion of live projects in their Data Scientist Course in Lusaka, featuring over 10 capstone projects and hands-on client/live project experiences.
Certainly, DataMites in Lusaka offers help sessions for participants, providing additional support and clarification on specific data science topics to ensure a thorough understanding.
Upon completion of Data Science Training in Lusaka, DataMites awards participants with IABAC Certification, acknowledging their expertise in data science.
DataMites' career mentoring sessions in Lusaka follow an interactive format, guiding participants on industry trends, resume building, and interview preparation to enhance their employability in the data science field.
DataMites provides data science course training in Lusaka through online data science course training in Lusaka and self-paced methods, offering flexibility and personalized learning opportunities.
DataMites understands that participants might miss a training session in Lusaka due to unforeseen circumstances. In such cases, recorded sessions are accessible for review, enabling participants to catch up on missed content. Additionally, one-on-one sessions with trainers are available to address queries and clarify concepts covered during the missed session, ensuring a comprehensive learning experience.
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.