Instructor Led Live Online
Self Learning + Live Mentoring
In - Person Classroom 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
Data Science is a multidisciplinary field that involves extracting insights and knowledge from data using scientific methods, algorithms, and tools.
Acquiring knowledge in Data Science is important as it enables individuals and organizations to make informed decisions, uncover patterns and trends, solve complex problems, and gain a competitive advantage in various industries.
The skills required to pursue a career as a Data Scientist include proficiency in programming languages (such as Python or R), statistical analysis, machine learning, data visualization, problem-solving, and domain knowledge.
One can efficiently learn Data Science through a combination of self-study using online resources, taking online courses or bootcamps, participating in data science competitions, working on real-world projects, and seeking mentorship from experienced professionals.
Some common obstacles faced by professionals in the field of Data Science include dealing with large and complex datasets, ensuring data quality and integrity, addressing privacy and ethical concerns, staying updated with rapidly evolving technologies, and effectively communicating insights to non-technical stakeholders.
The cost of a Data Science course in Aizawl may vary depending on the institution and the program, but it generally ranges from INR40,000 to INR50,000 or more.
The eligibility criteria for enrolling in a Data Science course may vary depending on the institution but typically require a minimum educational qualification of a bachelor's degree in a relevant field such as computer science, mathematics, or statistics. Some courses may also have prerequisites in programming and mathematics.
The field of Data Science offers promising prospects and abundant opportunities, with a growing demand for skilled professionals in industries such as finance, healthcare, e-commerce, marketing, and technology. Data Scientists can work as consultants, analysts, researchers, or leaders driving data-driven decision-making processes.
Obtaining a certification in Data Science is beneficial as it provides validation of one's skills and knowledge, enhances credibility in the job market, improves career prospects, and helps in standing out among other candidates.
A career in data science is generally considered safe due to the high demand for data-driven decision-making and the growing need for professionals with data analysis and machine learning skills. However, it's important to continually update skills and stay adaptable to evolving technologies.
A career in data science is generally considered safe due to the high demand for data-driven decision-making and the growing need for professionals with data analysis and machine learning skills. However, it's important to continually update skills and stay adaptable to evolving technologies.
Python is a widely used and sufficient programming language for data science due to its extensive libraries (such as Pandas, NumPy, and scikit-learn) for data manipulation, analysis, and machine learning. Its versatility and ease of use make it a preferred choice for many data scientists.
While SQL (Structured Query Language) is not mandatory for data science, it is highly beneficial. SQL is used for querying and managing databases, which is a common task in data analysis and data science projects. Proficiency in SQL allows data scientists to extract relevant data efficiently.
CDS stands for Certified Data Scientist in the context of data science. It refers to a professional certification program that validates the skills, knowledge, and expertise of individuals in the field of data science.
A solid understanding of statistics is necessary for data science as it forms the foundation for many data analysis techniques, hypothesis testing, and model evaluation. Statistical concepts help in making sound decisions based on data and understanding the reliability of results.
DataMites in Aizawl offers an exceptional option for those seeking to enroll in a Data Science course. It distinguishes itself through its exceptional features, such as experienced and proficient instructors, a comprehensive curriculum covering a wide range of data science topics, a strong focus on practical learning through hands-on exercises, relevant projects aligned with industry requirements, and dedicated assistance in securing placement opportunities.
DataMites in Aizawl extends a warm invitation to individuals who possess a solid background in mathematics and programming, as well as those with previous experience in statistics, engineering, or related disciplines, to participate in their Certified Data Scientist Course. By adopting this inclusive approach, DataMites ensures that individuals from various backgrounds have the opportunity to pursue their professional goals in the dynamic and constantly evolving field of Data Science.
Enrolling in the data science course offered by DataMites in Aizawl is a prudent decision owing to its meticulously crafted curriculum, experienced faculty, immersive hands-on learning experiences, practical project assignments, and industry-oriented training. This comprehensive program greatly enhances your understanding and proficiency in the realm of data science, thereby augmenting your prospects of attaining lucrative employment opportunities.
The course has a duration of 8 months, spanning 700 learning hours, with a dedicated allocation of 120 hours for live online training.
Upon successfully finishing the data science course in Aizawl, students are awarded the prestigious IABAC certification, renowned for its international acclaim. This esteemed certification serves as a valuable credential, broadening employment avenues and facilitating participation in internship programs, thereby unlocking a plethora of opportunities in the field of data science.
DataMites offers robust support and guidance for placements through their dedicated Placement Assistance Team (PAT) once the course is successfully completed. The PAT provides personalized assistance to individuals, ensuring they receive comprehensive support in securing suitable job placements. This customized support significantly enhances employment prospects and unlocks a multitude of opportunities in the dynamic realm of data science.
DataMites in Aizawl offers a wide array of data science courses that cover a comprehensive range of subjects. These courses comprise Data Science Foundation, Data Science for Managers, Data Science Associate, Diploma in Data Science, Python for Data Science, Statistics for Data Science, Data Science Marketing, Data Science Operations, Data Science Retail, Data Science for HR, Data Science with Finance, and Data Science.
DataMites has gained substantial recognition for its exceptional team of industry-expert educators who possess extensive experience and profound expertise in the field of data science. These highly qualified instructors, holding esteemed certifications, bring their vast knowledge to the classroom, delivering exceptional instruction. Under their guidance, students are equipped to develop a comprehensive understanding of the subject matter.
DataMites acknowledges the varied preferences of students and offers flexible learning options to cater to their needs. They provide a range of choices, including live online sessions, self-paced learning, and on-demand classroom training. This flexibility enables individuals to select the learning approach that aligns with their requirements, making it convenient for them to pursue their data science education.
DataMites offers a comprehensive outline of its training approach, ensuring that students have a clear understanding of the training process and its elements. Furthermore, they provide a complimentary demo class, enabling individuals to fully comprehend the training methodology. This allows prospective students to assess the quality and suitability of the training before making a commitment, empowering them to make an informed decision.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
The payment mode available for the data science course in Aizawl through:
DataMites presents its Data Science Course in Aizawl with various pricing options, catering to a wide range of preferences. These choices consist of INR 35,000 for live online training, INR 21,000 for blended learning, and INR 44,000 for on-demand classroom training. This flexible pricing structure allows individuals to choose the plan that aligns with their budget and preferred mode of learning.
To obtain the participation certificate and book the certification exam, it is imperative to furnish valid photo identification proofs, such as a National ID card or a Driver's license. These identification proofs are of utmost importance in maintaining the authenticity and integrity of the certification process.
According to a PayScale report, the salary of a data scientist in India ranges from INR 9,10,238 per year.
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.