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 the field that involves extracting insights and knowledge from data using various techniques such as statistics, machine learning, and data visualization.
Learning data science is important because it equips individuals with the skills to analyze and interpret vast amounts of data, enabling data-driven decision-making, identifying patterns and trends, and driving innovation in various industries.
Necessary skills for a data scientist include proficiency in programming languages (such as Python or R), statistical analysis, machine learning algorithms, data visualization, and strong problem-solving and communication skills.
Effective ways to learn data science include online courses, bootcamps, self-study using books and tutorials, participating in data science competitions, and applying knowledge through practical projects and real-world datasets.
Typical challenges encountered by data scientists include data quality and cleaning, handling large and complex datasets, choosing the right algorithms and models, interpreting results accurately, and effectively communicating findings to non-technical stakeholders.
The cost of a data science course in Kohima ranges from INR 40,000 to INR 50,000 depending on the institute, course duration, and curriculum.
The eligibility requirements for enrolling in a data science course can vary. Generally, a bachelor's degree in a relevant field like computer science, mathematics, or statistics is preferred, along with basic programming knowledge. Some courses may have additional prerequisites or require specific academic backgrounds.
The career scope of data science is vast and diverse, with opportunities in industries such as finance, healthcare, technology, e-commerce, and more. Data scientists can work as data analysts, machine learning engineers, and data engineers, or even pursue research and academia in the field.
Certification in data science is important as it validates one's skills and knowledge in the field, making them more competitive in the job market. It provides tangible proof of expertise and can enhance career prospects.
There is a high demand for data science courses due to the increasing reliance on data-driven decision-making in various industries. The demand is driven by the need for professionals who can extract valuable insights from data to gain a competitive edge.
A career in data science is considered secure and stable as data-driven decision-making becomes more prevalent across industries. The demand for skilled data scientists continue to grow, and the field offers opportunities for growth, innovation, and attractive remuneration.
The prominent companies recruiting freshers in data science include technology giants like Google, Microsoft, and Amazon, as well as leading consulting firms, financial institutions, and startups that rely on data analytics for their operations and strategies.
While a background in statistics is beneficial for a career in data science, it is not necessarily essential. Data science encompasses various disciplines, including statistics, computer science, and domain-specific knowledge. Strong analytical and programming skills are crucial, and statistics can be learned along the way.
The abbreviation "CDS" commonly stands for "Certified Data Scientist," referring to a professional certification in the field of data science.
Yes, SQL is commonly used in data science for data extraction, manipulation, and querying in relational databases, making it a valuable skill for data scientists.
DataMites offers comprehensive Data Science courses in Kohima with an industry-relevant curriculum, experienced faculty, and hands-on projects, providing you with the necessary skills and knowledge to excel in the field of Data Science.
The Certified Data Scientist Course offered by DataMites in Kohima is open to individuals with a strong foundation in mathematics and programming, as well as those who have previous experience in statistics, engineering, or related fields. This inclusive approach makes the program suitable for a diverse range of participants aspiring to forge a rewarding career in Data Science.
Enrolling in the Data Science course provided by DataMites in Kohima offers numerous advantages, including comprehensive training, practical exposure through real-world projects, and industry-recognized certifications. This course effectively equips participants with the necessary skills and knowledge to excel in the dynamic field of data science.
The course duration spans 8 months, comprising a total of 700 learning hours, along with 120 hours of live online training.
Upon successful completion of the data science course in Kohima, students receive the prestigious IABAC certification, which holds global recognition. This certification serves as a valuable asset during job searches and internship programs, enhancing their prospects in the field of data science.
DataMites offers dedicated support and guidance for placements through their Placement Assistance Team (PAT) upon completion of the course. This ensures that individuals receive comprehensive assistance in finding suitable job placements, thereby enhancing their chances of securing employment opportunities.
DataMites in Kohima provides a wide array of data science courses, encompassing 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 is widely recognized for its team of highly experienced educators who specialize in data science. These instructors bring extensive expertise, qualifications, and certifications to the table. Leveraging their wealth of experience, they deliver exceptional instruction, allowing students to acquire a comprehensive understanding of the subject matter.
DataMites offers flexible learning options to accommodate the preferences of students. They provide a range of choices, such as live online sessions, self-paced learning methods, and on-demand classroom training. This flexibility empowers individuals to choose the learning approach that aligns with their needs, making it convenient for them to pursue their data science education.
DataMites provides an overview of its training approach and offers a complimentary demo class, enabling students to gain a better understanding of the training process and its various components. This allows individuals to assess the quality and suitability of the training before making a commitment.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
The payment mode available for the data science course in Kohima through:
DataMites offers its Data Science Course in Kohima at various price points, with options including INR 35,000 for live online training, INR 21,000 for blended learning, and INR 44,000 for on-demand classroom training. This allows individuals to choose the pricing plan that suits their budget and preferred mode of learning.
To obtain the participation certificate and book the certification exam, it is mandatory to provide photo identification proofs such as a National ID card or a Driving license. These proofs are required to ensure the accuracy and legitimacy 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.